ML Engineer Jobs in Texas.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku’s Voice Team aims to develop the best voice system for TV. We enable users to perform tasks hands-free using voice, such as searching for movies or turning on their TV and launching content. Multiple languages are supported, and our technology also enables Roku’s IOT devices to be controlled by voice.
About the Role
The Senior Technical Program Manager (TPM) for Roku Voice will own the planning and execution of complex, cross‑functional programs that deliver high‑quality voice features and infrastructure at scale. You will be the central coordination point across Voice Engineering, UX, PM, Analytics, QA, and external partners, ensuring that priorities are clear, roadmaps are realistic, and launches are smooth.
What you’ll be doing
- Lead end‑to‑end planning and execution of major Roku Voice programs (e.g., new voice capabilities, regional expansions, infrastructure upgrades), from concept through launch and post‑launch iteration
- Own program structure: requirements, milestones, dependencies, risk management, communication plans, and status reporting across engineering, analytics, QA, and partner teams
- Drive alignment on priorities and scope across teams; ensure that upstream and downstream dependencies are understood and managed
- Coordinate with external voice technology partners and internal platform teams, ensuring integration plans, SLAs, and release timelines are well defined and met
- Track progress of builds, engineering changes, and issue closures with urgency and attention to detail
- Establish and continuously improve program management processes and tooling for the Voice org
- Communicate clearly and crisply at all levels of the organization, from engineers to VP+ stakeholders, including regular status, risks, and trade‑offs
- Anticipate and surface risks early; drive mitigation plans and make data‑informed recommendations on resourcing, sequencing, and scope
We're excited if you have
- 5+ years of technical program management, engineering management, or equivalent experience delivering complex software or ML‑driven products
- Demonstrated experience leading cross‑functional programs that span multiple engineering disciplines (e.g., backend services, ML, data, or platform teams)
- Strong familiarity with at least one of: machine learning, speech/ASR, NLU/NLP, or large‑scale data/experimentation. You do not need to be an ML engineer, but you must be comfortable engaging deeply with technical details
- Proven track record of driving programs from inception to launch, including requirements definition, roadmap planning, risk management, and post‑launch iteration
- Excellent communication and stakeholder management skills; able to drive clarity and decisions among senior leaders and distributed teams
- Hands‑on experience with modern program management and collaboration tooling, including the use of GenAI
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Preferred Qualifications
- Experience in consumer devices, streaming, voice assistants, or other user‑facing ML products
- Experience working with geographically distributed teams and external technology partners
#LI-SB5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For California Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to enterprise-grade recruiting system configuration, data management, and testing in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For New York Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For California Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For Massachusetts Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning and Inference Platform that powers the entire landscape.
About the role
In this role, you will architect, design, and lead the development of a SOTA Inference platform that can handle Advertising-level low latencies, scale, throughput, and availability with optimizations that span across hardware, software, and models. We’re looking for a strong technical leader with deep experience in ML serving, high-performance computing, and industry standard frameworks - someone excited to mentor engineers, innovate at scale, and shape the future of machine learning at Roku.
What you’ll be doing
- Lead the design and development of a SOTA Inference platform
- Oversee the development of monitoring, observability, and other tooling to ensure system and model performance, reliability, and scalability of online inference services
- Identify and resolve system inefficiencies, performance bottlenecks, and reliability issues, ensuring optimized end-to-end performance
- Stay at the forefront of advancements in inference frameworks, ML hardware acceleration, and distributed systems, and incorporate innovations where and when they are impactful
We’re excited if you have
- M.S. or above in CS, ECE, or a related field
- 10+ years of experience in developing and deploying large-scale, distributed systems, with at least 5 years in a leadership or technical lead role
- Strong programming skills in high-performance languages
- Deep understanding of inference frameworks and ML system deployment
- Proven experience optimizing performance for large-scale machine learning systems, including a deep knowledge of SOTA model optimizations, hardware-software co-design, GPU acceleration, and HPC techniques
- Excellent communication and collaboration skills
- Experience leading teams working on high-throughput, low-latency ML serving systems
- Experience collaborating with and leading global, cross-functional teams
- Contributions to open-source ML or systems projects
#LI-DH2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Pre- & Post-Sales Customer Engineer, Enterprise
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The Team + The Role
Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.
As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.
This is a remote role supporting a central region.
What this looks like day-to-day
- New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
- Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
- Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
- Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
- Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
- Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
- Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.
Who You Are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
Must-haves
- 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
- Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
- Proven experience managing strategic accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
- Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
- Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
- Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
- Experience mentoring or coaching more junior technical team members.
Nice-to-haves
- Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
- Hands-on experience with mobile app development, including Swift, Android, or React Native.
- Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
- Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Remote
Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.
Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Ready to apply?
Apply to PendoWE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
Data Architect
You own the data spine of the platform: the canonical event envelope, the multi-tenant transactional store, the read-side projections that power every console view and API response, and the AI/ML data infrastructure that makes the system intelligent rather than just instrumented. This is not a specialist role. We are hiring one person who has done all three surfaces at production depth and can hold the trade-offs simultaneously. The data volume is significant, the schema evolution problem is hard, the tenant isolation requirements are unforgiving, and the AI workloads sit on top of all of it. If any of those three surfaces feel uninteresting, this isn't the role. You'll work shoulder-to-shoulder with the Solution Architect on the canonical data model and with the Senior Developer on implementation. You write the migration playbooks, the upcaster chains, the projection rebuild procedures, and the runbooks that let us sleep at night. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays.
What experience should you have:
- 10+ years of data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation.
- Production experience with event-sourced systems. You have personally implemented or evolved an event envelope, dealt with the upcaster chain problem, and lived with the consequences of an early schema decision.
- Deep Postgres expertise: schema design, indexing, query plan analysis, RLS. Not "I've used Postgres" but "I know what I'd do differently from the last team."
- Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis. You understand the difference between a topic, a partition, a consumer group, and a saga, and you've designed for all of them.
- Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns. You can take an event log and produce a queryable shape that analysts and AI systems can actually use.
- Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know why most of them don't.
- Strong SQL, strong enough to be the person other engineers go to.
Nice to have
- Drizzle, Prisma, or another modern TypeScript ORM at production depth.
- Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes.
- Background in feature stores, ML pipelines, or model evaluation infrastructure.
- Semantic layer experience: dbt, Cube, or Malloy.
- Compliance experience: SOC 2, HIPAA, GDPR, data residency. The audit story is part of the data story.
- Open-source work or public writing on data architecture.
What you’ll be doing in this role:
- The canonical event envelope and schema evolution strategy: how events are versioned, how upcasters chain, how projections rebuild, and how we add fields without breaking history. You write the rules and enforce them in code review.
- The transactional data layer: Postgres schema design, tenant isolation via row-level security, indexing strategy, query patterns, and migration discipline. Every table in a data plane carries a tenant_id and a policy. You make sure of that.
- The read-side architecture: projection design, materialized views, semantic layer for downstream analytics and AI consumption. You decide how we move from event log to queryable shape and how that shape stays cheap to maintain.
- The AI/ML data infrastructure: vector stores, embedding pipelines, retrieval-augmented generation patterns, feature stores where applicable, and the lineage that lets us trust what comes back.
- Data governance: lineage, retention, deletion (right-to-be-forgotten in a multi-tenant event-sourced system is a real problem and you'll solve it), and the audit story for every piece of customer data we touch.
- The operational playbook: projection rebuilds, replay procedures, schema migrations on hot data, vector index maintenance, capacity planning. If the data layer goes sideways at 2am, your runbook is what saves the on-call engineer
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
#LI-Hybrid
Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
Ready to apply?
Apply to Further
Field CTO - Physical AI & Robotics
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.
The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market.
This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up.
You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred)
Your responsibilities will include:
- Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers.
- Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals.
- Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams.
- Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers.
- Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market.
- Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows.
- Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions.
- Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets.
- Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D.
We expect you to have:
- 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems.
- 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems.
- Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer).
- Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO.
- GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets.
- Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets.
- Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking.
- Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints.
- Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
- Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving.
Why Nebius:
- Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI
- Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners
- Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development
- Ownership: Join a team that values technical depth, ownership, and speed of execution
- Mission: Help define how intelligence moves from the data center into the physical world
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Static Timing Analysis (STA) Methodology Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is looking for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products.
This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.
We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
Who you are
- An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
- You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
- You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
- You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.
What we need
- A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
- A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
- A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
- A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.
What you will learn
- How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
- Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
- How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
- How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
- Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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Machine Learning Engineer – Inspire11
Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.
At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.
- Growth Through Challenge: We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
- The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next.
- Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be.
What you can expect in this role:
- Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
- Monitoring models in production
- Developing Generative AI solutions
- Ensuring security and compliance
- Preprocessing and analyzing datasets
- Developing and fine-tuning ML models to optimize for performance
- Communicating results to stakeholders
Tools for success:
- Exhibit strong software engineering principles
- Proficiency in cloud architecture (AWS, Azure, GCP)
- Familiarity with CI/CD and DevOps
- Expertise in data preprocessing and ML techniques
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Proven experience in ML engineering
- Strong programming skills (Python, R)
- Cloud services and infrastructure knowledge
- Agile methodologies understanding
Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.
Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/
U.S. Compensation & Benefits
Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
Bonuses
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.
Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.
Options or Other Equity in Inspire11
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.
Benefits
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:
- Medical insurance plans,
- Dental insurance plans, and
- Vision insurance plans.
Full-time employees are eligible for the following benefits provided wholly by the Company:
- Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;
- Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;
- Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;
- A connectivity stipend of $325 annually;
- Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.
Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.
Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:
- Flexible savings accounts
- Limited-purpose flexible savings accounts
- Healthcare savings accounts
- Dependent care savings accounts
- Commuter benefit accounts
Paid Time Off and Leave
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.
In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.
Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.
Other Benefits
Inspire11 also maintains other programs that provide additional benefits to employees, such as:
- Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.
- Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.
- Regular gifts of Inspire11 clothes, office items, and swag.
Disclaimer
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.
Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.
EEOC
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.
US Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
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Apply to Inspire11
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications. We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development. This role includes close collaboration with multiple partners to drive designs from concept through mass production. The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment.
Responsibilities:
- Develop and maintain electrical schematics for various printed circuit assemblies
- Design and layout multilayer PCBs
- Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements
- Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT)
- Support server subsystem integration
- Participate in design reviews
- Support prototype builds, board bring-up, debugging, and validation
- Track and resolve design issues, including root cause analysis and corrective actions
- Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes)
Requirements:
- Bachelor’s degree in electrical engineering
- 2–4 years of experience in schematic capture and PCB design
- Proficiency with PCB design and schematic tools
- Strong understanding of analog and digital circuit design fundamentals
- Experience with multilayer PCB layout
- Experience with lab equipment (oscilloscope, multimeter, logic analyzer)
Differentiators:
- Experience with server platforms or data center hardware
- Knowledge of power delivery network (PDN) design for high-power systems
- Familiarity with signal integrity and power integrity analysis tools
- Experience with compliance and validation (EMI/EMC, safety, regulatory)
- Exposure to global manufacturing environments and supply chain coordination
- Familiarity with PLM systems and change management workflows
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
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Signal Processing Engineer
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About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Job Summary
We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.
Key Responsibilities
- Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
- Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
- Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
- Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
- Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
- Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.
Required Qualifications
- Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
- Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
- Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
- Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
- Proficiency in Python and C for algorithm prototyping and simulation.
Preferred Qualifications
- Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
- Experience with dedicated DSP cores or accelerators.
- Track record of optimizing for power/area/latency in resource-constrained environments.
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$121,000 - $230,500
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
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Digital IC Design Engineer
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About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description & Responsibilities:
Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.
- Micro-architecture design and RTL implementation of:
- Low-power digital signal processors
- Low-power general-purpose hardware accelerators
- Low-power graphics processing units
- Low-power radio MAC/PHY
- Low-power serial link MAC/PHY
- Design and optimization of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Energy/performance profiling and analysis
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing cost and performance under manufacturing process variation
- Collaboration on silicon bring-up tests with verification engineers
Required Qualifications:
- Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- 5+ years of experience in digital design
- Expertise in SystemVerilog, C/C++, Python
- Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
- Experience in designing digital signal processing pipelines, from algorithm to RTL
Preferred Qualifications:
- Experience in architecture optimization with process technology customization
- Experience in the verification of complex digital systems, using industry standard tools
- Experience in the physical design of complex digital systems, using industry standard tools
- Experience testing and debugging digital system-on-a-chips
- Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
- Experience automating tool flows
- Experience with embedded design
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
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Software Engineer, Pathology and Digital Imaging
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About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving safety, improving our device, and pushing science forward.
Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.
This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.
Job Description and Responsibilities:
As a Software Engineer on the Pathology and Digital Imaging Team, you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.
You’ll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on:
- Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
- A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
- Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
- ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets
Required Qualifications:
- A bachelor’s degree in Computer Science or equivalent demonstrated work experience
- Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
- You've built software that real people use
- You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
- You take ownership. When your software breaks on the floor, you fix it
- You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Hardware/ Software Co-Design Engineer
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About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description & Responsibilities:
Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.
- Micro-architecture design and RTL implementation of:
- Low-power digital signal processors
- Low-power general-purpose hardware accelerators
- Low-power graphics processing units
- Low-power radio MAC/PHY
- Low-power serial link MAC/PHY
- Design and optimization of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Energy/performance profiling and analysis
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing cost and performance under manufacturing process variation
- Collaboration on silicon bring-up tests with verification engineers
Required Qualifications:
- Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- Experience designing and implementing embedded software in C or Rust
- Expertise in SystemVerilog, C/C++, Python
- Experience designing and implementing emulation models, transactors, and test environments to replicate hardware behavior
- Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
- Experience in designing digital signal processing pipelines, from algorithm to RTL
Preferred Qualifications:
- Experience in architecture optimization with process technology customization
- Experience in the verification of complex digital systems, using industry standard tools
- Experience in the physical design of complex digital systems, using industry standard tools
- Experience testing and debugging digital system-on-a-chips
- Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
- Experience automating tool flows
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Ready to apply?
Apply to Neuralink
Staff Engineer - Platform Bring-up and Validation
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About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from a diverse set of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking a principled and dynamic Lead Systems and Validation Engineer to drive end-to-end system validation for AI compute blade and rack platforms. This high-visibility role focuses on first silicon bring-up, system enablement, and post-silicon validation across hardware, firmware, and software domains. You will lead validation strategy, execution, and debug while collaborating closely with cross-functional engineering teams to deliver high-quality, industry-leading AI systems.
The Team
The Systems Validation team is responsible for enabling and validating Graphcore’s AI compute platforms from first silicon through production. The team works closely with system architects, firmware, silicon, and infrastructure teams to ensure system readiness, scalability, and quality at rack level.
Responsibilities and Duties
- Lead system enablement including first silicon bring-up and integration of firmware and platform components to meet system architecture specifications.
- Develop validation methodologies, lab hardware infrastructure, system software capabilities, and debug tools for blade and rack-level validation.
- Triage and debug issues across bring-up, post-silicon validation, and production phases ensuring timely resolution with high quality.
- Define and own validation test plans, develop test cases, and drive execution across domains such as CPU, GPU, memory, HBM, and IO.
- Drive innovation in validation through development of tools, scripts, and improved methodologies to enhance coverage, efficiency, and quality.
- Enable comprehensive system verification by integrating storage, networking, and infrastructure capabilities within lab environments.
- Collaborate with multi-functional teams including system architecture, embedded software, hardware build, and ODM partners.
- Provide technical leadership and mentorship, fostering engineering perfection and continuous improvement.
Candidate Profile
Essential:
- Strong analytical and problem-solving skills with high attention to detail.
- Extensive experience in system validation encompassing initial silicon integration and HW/FW/SW validation.
- Strong understanding of industry-standard interfaces such as PCIe and CXL.
- Experience enabling storage and networking systems in lab environments for end-to-end validation.
- Deep knowledge of ARM or x86 architectures, SoC design, memory, RAS, and power management.
- Experience with system-level debug, operating systems, BIOS, and device drivers.
- Strong experience with Linux, Windows, and virtualization technologies (VMware, KVM, Hyper-V).
- Excellent communication, organization, and cross-functional collaboration skills.
- Ability to lead multiple workstreams and deliver under tight timelines.
- Experience in technical program management and driving validation initiatives.
Desirable:
- Master’s or PhD in Electrical Engineering, Computer Engineering, or related field.
- Demonstrated ability working on complex system validation and debug in data center or rack-scale environments.
- Experience designing or validating AI/ML rack-scale systems.
- Knowledge of hardware development best practices and industry standards.
- Familiarity with emerging AI and data center infrastructure technologies.
- Experience collaborating with ODM partners globally.
Ready to apply?
Apply to Graphcore
Principal Embedded SW/FW Engineer (Bringup)
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Principal Embedded SW/FW Engineer (Bringup)
Salary $241,100 - $326,100 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Principal Post Silicon Validation Engineer (Bringup)
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Principal Post Silicon Validation Engineer (Bringup)
Salary $241,100 - $326,100 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Embedded SW/FW Engineer (Bringup)
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Senior Embedded SW/FW Engineer (Bringup)
Salary $156,500 - $211,700 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Post Silicon Validation Engineer (Bringup)
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Senior Post Silicon Validation Engineer (Bringup)
Salary $156,500 - $211,700 + Phantom Equity + Benefits
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing.
We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.
The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team.
Responsibilities and Duties
- Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
- Deploy silicon validation tests on first silicon and debugging them
- Develop automated test framework and regression test suites in Python to optimize validation efficiency
- Collaborate closely with engineers from many other disciplines on a variety of topics
- Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
- Analyse test results, identify and debug failures/defects
- Contribute to shared test and validation infrastructure
- Provide feedback to architects
Essential skills:
- Strong experience in Bare metal / embedded C/C++
- Good knowledge of digital ASICs
- Be highly motivated, a self starter, and a team player
- Ability to work across teams and programming languages to find root causes of deep and complex issues
- Experience of the post-silicon validation process applied in digital ASIC environments
- Python, Linux
- Excellent communication skills and the ability to collaborate with others to solve problems
- Excellent problem-solving, analytical & diagnostic skills
Desirable skills:
- Driver level experience with one or more of the following is highly desirable:
- PCIe
- Ethernet
- Memory technologies (LPDDR, DDR, HBM, …)
- Other peripherals such as I2C, I3C, SPI, …
- Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
- Experience of Arm CPUs, System IP and debug tools
- Experience of AMBA protocols
- Understanding of ML applications and their workloads
- Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support
Benefits:
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
About ROLLER
ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
About the Role
We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
What You'll Do
- Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
- Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
- Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
- Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
- Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
- Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
- Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
- Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
- Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
About You
You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
- 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
- Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
- Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
- Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
- Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
- Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
- Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
- Ability to design high-performance dashboards that prioritize user experience and fast load times.
- Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
- Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
- Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
- Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
- Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
- You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals
Preferred Qualifications
- Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
- Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
- Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
Perks!
- You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
- ROLLER Recharge days to celebrate and recharge once we've hit our goals
- Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
- Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
- 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
- Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
- Individual learning & development budget plus genuine career growth opportunities as we continue to expand!
What You Can Expect
- Initial call with our Talent Acquisition Manager
You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have. - Interview with the Hiring Manager
You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail. - Loop Interviews
This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for! - Offer
If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
Ready to apply?
Apply to ROLLER
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.
The Solutions Engineer, Auth0 Opportunity
Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.
What you’ll be doing
- Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
- Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
- Answer product feature and technical questions from customers, partners and Okta colleagues
- Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
- Provide feedback to product management about product enhancements that can address customer needs and provide additional value
- Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
- Stay current on competitive analysis and market differentiation
- Support marketing events including executive briefings, conferences, user groups, and trade shows
- At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge
- Identity and Access Management (IAM) Expertise:
- 5+ years of pre-sales engineering experience in IAM.
- Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
- Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
- Technical Proficiency:
- Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
- Experience working with REST APIs, API Gateways, and SDKs.
- Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
- Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
- Customer Engagement & Communication:
- Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
- Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
- Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
- Strategic & Organizational Skills:
- Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
- Diagramming experience for user journey flows, complex architecture diagrams, etc.
- Education & Travel:
- Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
- Typically 25% travel.
- Experience with Auth0, Auth0 FGA, or OpenFGA.
- Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
- Experience integrating with microservices, data lakes, or customer data platforms.
- Developed ReBAC or Fine-Grained Authorization models.
LI#LS
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Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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Senior Full Stack Software Engineer (AI Applications)
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WHO WE ARE
Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices.
Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees.
OVERVIEW
We’re hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams.
This is a product engineering role,not model training. You’ll focus on delivering AI through scalable, intuitive applications.
You’ll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences.
You’ll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You’ll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful.
If you enjoy turning complex technology into products people actually use, this is your role.
This is a hybrid position; it is not eligible for sponsorship or relocation assistance.
How You'll Make An Impact
You’ll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI.
In this role, you will:
- Build full-stack applications, data APIs, and AI-powered dashboards
- Develop backend services (Python: FastAPI/Django, Node.js)
- Integrate with Databricks and AWS SageMaker
- Create responsive frontends (React, Next.js, TailwindCSS)
- Deploy cloud-native apps (AWS, GCP, or Azure)
- Connect RAG pipelines, vector databases, and model endpoints
- Implement authentication, data access, and API management
- Build CI/CD pipelines, testing, and performance optimization
- Collaborate with product and design on AI-driven experiences
ABOUT YOU
You’ll Be Highly Rated If:
- You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems.
- You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field.
- You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services.
- You've deployed on AWS, GCP, or Azure, ideally with Databricks or SageMaker.
You'll Be One of Our Top Picks If:
- You love turning complex AI models into products people actually use.
- You move fluently across frontend, backend, and cloud.
- You're as comfortable debating UX as you are optimizing a data pipeline.
FAIR PAY AND A JUST WORKPLACE
At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC.
Salary ranges
- NY/California: $120K-$140K annually
- DMV/Massachusetts: $115K-$135K annually
- Colchester, CT and additional approved CR locations: $100K-$120K annually
Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.
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GCC Compiler Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
- Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
- Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
- Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
- Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.
- Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.
- Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.
- Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
- Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.
- How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
- Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
- Integration of custom compilers with leading ML frameworks and runtime environments.
- The end-to-end toolchain flow that enables Tenstorrent’s scalable, high-performance AI compute systems.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Staff Engineer, Physical Design
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.
This role is hybrid, based out of Austin, TX, Santa Clara, CA or Fort Collins, CO.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
- Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
- Strong problem solver who excels at debugging complex issues across design hierarchies.
- Collaborative team player who thrives in fast-paced, technically challenging environments.
What We Need
- BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
- Expertise with industry-standard tools (Innovus, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python).
- Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
- Experience driving physical design requirements from early architecture through final signoff.
What You Will Learn
- How to implement cutting-edge AI accelerators and high-performance CPUs on the most advanced process nodes.
- Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
- End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
- Direct impact on products that are redefining the landscape of AI and high-performance computing.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
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Sr. Engineer, Software - AI Compiler
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.
This role is hybrid, and can be based out of Santa Clara, CA; Austin, TX; or Toronto; ON.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
- Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
- Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
- A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.
What We Need
- A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
- Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
- Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.
What You Will Learn
- How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
- Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
- New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
- How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Infrastructure and Platform Development Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.
This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
- Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
- Proficient in Python or Go with experience building APIs and services.
- Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
- Collaborative and adaptable, able to work across teams in fast-moving environments.
What We Need
- Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
- Develop APIs and services that enable internal teams to interact with infrastructure systems.
- Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
- Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
- Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.
What You Will Learn
- How large-scale AI infrastructure is built and operated on custom accelerator hardware.
- Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
- How on-prem data center infrastructure differs from cloud-native environments at scale.
- How infrastructure platforms evolve from internal tools to production-grade external systems.
- How cross-functional teams coordinate to deploy and support AI systems in real-world environments.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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Staff Product Development Engineer - ATE Content Developer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is looking for a Staff Product Development Engineer - ATE Content Developer, who will be focused on core content development for high-performance AI/ML silicon. They will be responsible for developing production test programs on ATE test platforms, translating DFT/ATPG content into optimized ATE solutions, and implementing Streaming Scan Network (SSN) architectures for efficient test data delivery. High level challenges include reducing test cost while maintaining coverage targets, optimizing test time for chiplet and multi-die architectures, and enabling rapid yield learning through robust test methodologies. The work is done collaboratively with a group of highly experienced engineers across DFT, design, product, and manufacturing domains.
This role is hybrid, based out of Austin, TX or Santa Clara, CA.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- An experienced semiconductor test engineer with 7 years and a BS/MS in EE/ECE/CE and a track record testing complex digital devices on advanced nodes.
- Hands-on with Advantest V93K and/or Teradyne UltraFlex+ platforms, comfortable owning production test programs end‑to‑end.
- Deeply familiar with DFT/ATPG flows and test architectures: scan chains, MBIST, compression, JTAG/IEEE 1149.1, and common fault models (stuck‑at, transition, path delay, cell‑aware).
- Proficient in C/C++ or Java, with strong scripting skills in Python, Perl, or TCL to automate flows, pattern handling, and data analysis.
- Skilled at debugging across ATE hardware, test programs, and silicon, and at using data to drive root‑cause analysis and yield improvement.
What We Need
- Develop and optimize production test programs on Advantest V93K using the SmarTest 8 environment, from bring‑up through high‑volume manufacturing.
- Translate ATPG patterns (STIL/WGL) into production‑ready test content, balancing test time, coverage, and cost for chiplet and multi‑die AI/ML devices.
- Implement and debug Streaming Scan Network (SSN) based content for high‑speed scan delivery, ensuring robust and scalable scan test infrastructure.
- Own test content for scan, BIST, and memory test structures, collaborating with DFT teams on pattern debug, fault diagnosis, and coverage improvement.
- Support silicon bring‑up and debug in the lab and at manufacturing sites, including correlation, corner characterization, and PVT studies.
- Build and maintain automation scripts and test methods that improve productivity, repeatability, and quality across the test lifecycle.
- Document test architectures, flows, and debug procedures so they can be scaled across products, sites, and engineering teams.
What You Will Learn
- How to test and scale cutting‑edge AI/ML silicon with chiplet and multi‑die architectures, including exposure to 2.5D/3D packaging and HBM integration.
- Deeper expertise in SSN architectures, high‑speed scan delivery, and next‑generation DFT/test methodologies for complex HPC/AI devices.
- How to drive end‑to‑end yield learning: from ATE data and STDF analytics through to design, DFT, and manufacturing process feedback.
- How a fast‑growing AI hardware startup coordinates DFT, design, product, and manufacturing to bring new silicon from first silicon to high‑volume production.
- Opportunities to influence test strategy, infrastructure, and automation roadmaps for future products and platforms as Tenstorrent’s portfolio scales.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Software Engineer, AI Compiler
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
- Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
- Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
- Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
- Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.
- Experience building compilers or similar systems, with strong fluency in C++ and Python.
- Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
- You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
- A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.
- How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
- New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
- Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
- How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Physical Design Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is seeking a talented Physical Design Engineer to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.
This role is hybrid, based out of Austin, TX or Santa Clara, CA or Fort Collins, CO.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
- Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
- Strong problem solver who excels at debugging complex issues across design hierarchies.
- Collaborative team player who thrives in fast-paced, technically challenging environments.
What We Need
- BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
- Expertise with industry-standard tools (FusionCompiler, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python).
- Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
- Experience driving physical design requirements from early architecture through final signoff.
What You Will Learn
- How to implement cutting-edge AI accelerators, high-performance CPUs and the SOCs that host them on the most advanced process nodes.
- Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
- End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
- Direct impact on products that are redefining the landscape of AI and high-performance computing.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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AI/ML Physical Design Flow Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities.
This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who you are
- BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.
- Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
- Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
- Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.
What we need
- Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
- Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
- Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
- Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.
What you will learn
- How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.
- New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
- Best practices for deploying, validating, and monitoring ML models in production CAD environments.
- How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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Staff Design for Test Engineer
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.
This role is hybrid, based out of Santa Clara, CA or Austin, TX
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- You have a BS/MS/PhD in EE/ECE/CE/CS with 5+ years of industry experience in advanced DFx/DFT for complex ASIC/SoC designs.
- You are fluent in Verilog RTL for DFT logic (lock-up latches, clock gates, scan anchors) and comfortable with SystemVerilog/UVM.
- You have hands-on experience with ATPG and DFx insertion tools, fault models (Stuck-at, Transition, Path Delay, IDDQ, Cell-Aware), and low-power design flows.
- You bring strong debug and problem-solving skills across design hierarchies and collaborate effectively with design, PD, verification, and test teams.
What We Need
- Implement and integrate DFT features (scan, JTAG, compression, ASST, MBIST) into RTL from early design through tapeout across multiple IPs.
- Own ATPG, test coverage analysis, and gate-level simulation (e.g., with Synopsys VCS/Verdi) to achieve and maintain high-quality test coverage.
- Plan, implement, and verify MBIST, and work closely with Test Engineering on test planning, pattern delivery, and debug.
- Develop and refine DFx flows and methodology that integrate cleanly with front-end and physical design flows, balancing coverage, test cost, and design intrusiveness.
What You Will Learn
- How to drive DFT for industry-leading AI/ML architectures, working on high-performance chips with aggressive performance and power targets.
- Practical strategies to reduce test cost while maintaining coverage, and to design DFT hooks that accelerate silicon bring-up and yield learning.
- How to minimize DFT intrusions while integrating cleanly with RTL, verification, physical design, and production test flows.
- How a senior, cross-functional ASIC team collaborates across design, PD, verification, and manufacturing to achieve first-pass silicon success on advanced nodes.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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Staff Edge AI Firmware Engineer
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Company Overview
Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us — the intelligence everywhere revolution starts here.
Scope
Ambiq is seeking an Edge AI Firmware Engineer to build and optimize the embedded software stack that powers real-time, battery-powered on-device AI. You will develop Ambiq’s AI runtimes, performance-critical operator libraries, and profiling/debug tooling that enable customers to deploy efficient inference on resource-constrained devices.
While the cloud has been the default home for AI, the next frontier is distributing intelligence everywhere—directly onto real-world devices. Edge AI enables real-time responsiveness, stronger privacy, lower bandwidth cost, and reliable operation even without connectivity. This role helps accelerate the shift to on-device intelligence across a rapidly growing ecosystem of health and fitness wearables, smart glasses, industrial IoT, and always-on sensors.
You’ll work closely with platform, silicon, and applied ML teams—and directly with customers—to ensure our software extracts maximum performance and energy efficiency from Ambiq hardware while remaining easy to integrate into production embedded toolchains.
Responsibilities
- Develop and support Ambiq’s embedded AI runtimes (HeliaRT—our fork/extension of TensorFlow Lite for Microcontrollers—and HeliaAOT) with focus on portability, correctness, performance, and usability.
- Implement and optimize ML operator kernels and embedded libraries for on-chip acceleration (DSP, vector, NPU), including HeliaDSP and HeliaCore components.
- Build and maintain on-device profiling and performance analysis tools, including converting PMU counters into actionable insights.
- Drive improvements in latency, memory footprint, and energy (e.g., joules/inference) through compute/bandwidth and memory-hierarchy analysis.
- Develop benchmark harnesses, microbenchmarks, and regression tests to ensure numerical correctness and prevent performance regressions.
- Enable seamless customer integration across embedded environments and toolchains (bare metal, FreeRTOS, Zephyr).
- Improve memory planning/runtime efficiency and manage upstream/fork health; publish and maintain customer-facing assets (docs, guides, examples, benchmarks).
Qualifications
- BS in Electrical/Computer Engineering, Computer Science, or related field + 5+ years relevant experience (or equivalent practical experience). MS is a plus, especially in embedded systems, compilers, computer architecture, or ML systems.
- Strong experience designing, developing, and testing embedded software in C/C++.
- Strong debugging discipline with an emphasis on correctness, reproducibility, and performance regression prevention.
- Solid understanding of compute, memory, and bandwidth/cache effects on deterministic latency and energy efficiency in constrained systems.
- Ability to interpret hardware/software documentation (datasheets, reference manuals; schematics a plus).
- Proficiency with Git (or equivalent version control).
- Efficient use of AI-assisted development tools to improve productivity while maintaining engineering rigor.
- Experience with embedded development workflows: Arm toolchains, GDB + J-Link/SEGGER-class probes, and CMake/Make build systems.
Nice to have:
- Python for profiling/analysis tooling, automation, and developer utilities.
- Rust experience.
- Familiarity with TensorFlow Lite for Microcontrollers (or similar embedded inference runtimes).
- Experience optimizing for embedded acceleration targets (e.g., DSP, vector extensions, NPU).
- Familiarity with CMSIS-NN, CMSIS-DSP, and/or Vela (or similar).
- Working knowledge of quantized inference (e.g., int8, per-channel) and embedded debugging implications.
- Packaging/integration (e.g., CMSIS-Pack/CPM.cmake) and/or lab measurement experience (power/debug with basic bench tools).
Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role.
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Apply to Ambiq Micro, Inc.Datadog’s CodeGen team builds systems that use AI to read, understand, generate, and safely change real code — powering automated fixes, CI/PR automation, agentic remediation, and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe, auditable code changes.
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation.
- Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance).
- Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows).
- Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes.
- Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team.
- Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services.
- Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes.
Who You Are:
- Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production
- Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products
- Strong software development skills and proficiency in Python and Go
- Strong understanding of machine learning theory, statistics, and fundamentals
- Excellent communication abilities to convey complex technical concepts clearly
- A collaborative mindset and proven experience in working in cross-functional teams
- A proactive approach with a passion for continuous learning and innovation
- Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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Senior ML Engineer
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Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration.
What you will do:
- Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
- Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
- Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
- Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
- Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
- Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
- Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
- Translate complex ML workflows into digestible updates for cross-functional stakeholders.
- Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
- Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
- Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
- Help build and ship AI agents that help automate key auto-shop business processes.
We are looking for people who have:
- Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
- Proven experience shipping models into production (not just proof-of-concepts or notebooks).
- Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
- Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
- Bachelor’s degree in a STEM field, or equivalent practical experience.
- Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.
Nice to have:
Candidates should have some experience in one or more of the following areas.
- Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML.
- Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
- Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
- Experience with/interest in LLM workflows and agentic workflows
- Cloud infrastructure experience, (e.g. GCP, AWS).
- Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
- Strong SQL skills for working with large-scale data.
- Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.
Bonus Points:
- Prior experience working at a high growth startup.
- Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
- Background in data processing or real-time analytics.
- Experience with Snowflake or other large-scale data warehouse solutions.
In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.
Why Shopmonkey?
Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status:
💪🏼 Health & Wellness
- Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
- Short term and long term disability
- Employee assistance program
- Reimbursement for a personal health and wellness membership
- Generous parental leave
- 401(k) available upon hire
✈️ Time Off
- 11 paid holidays
- Flexible time off - take the time off you need!
🥰 Giving Back
- Matching donations for approved charitable organizations
- Group volunteer efforts
Check out our founder’s story, life page, or hear from real employees about what it’s like to work at Shopmonkey.
Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.
About the Industry
The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.
About Shopmonkey
Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.
Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.
In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023, 2024, and 2026!
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at hiring@shopmonkey.io.
Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:
- Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.
- Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.
- While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s Careers page, or our official LinkedIn Company Page
The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.
Ready to apply?
Apply to Shopmonkey
Senior Manufacturing Test Engineer (PCBA)
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Austin is home to Optiver’s hardware research, development, and manufacturing group. We build some of the world’s most competitive trading hardware—high-speed, high-density systems that push the limits of performance, reliability, and manufacturability.
We’re growing fast and looking for a Manufacturing Test Engineer focused on PCBA test development and deployment. You’ll own board-level test solutions from early prototypes through volume production—building fixtures, developing automation, driving debug, and partnering closely with contract manufacturers and our internal EE/ME/FPGA/firmware teams.
We’re a small, highly technical team, and this role comes with real autonomy: you’ll have the runway to improve how we do test, raise the bar on factory readiness, and build scalable processes as our hardware footprint grows.
Who we are
Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.
Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.
What you’ll do
- Own PCBA manufacturing test strategy across the product lifecycle:
- EVT/DVT/PVT → ramp → sustaining
- coverage definition, limits/thresholds, logging, and yield monitoring
- Design and build PCBA test fixtures spanning:
- ICT & Functional verification test (FVT)
- Burn-in / reliability screening
- Final assembly tests (FATP)
- System interoperability testing
- Develop automated test software with strong emphasis on Python scripting, maintainability, and scalability
- Partner with contract manufacturers to deploy tests on the line, train vendor teams, and drive continuous improvement.
- Drive DFT/DFM feedback into design reviews with EE and ME teams
- Define and maintain test documentation:
- Test plans, work instructions, golden unit strategy, calibration/maintenance procedures, and acceptance criteria.
- Use modern tooling (including AI-assisted workflows where helpful) to speed up debug, log triage, and documentation—without compromising repeatability and traceability.
- Travel periodically to supplier sites to support NPI builds, line bring-up, and ramp
Who you are
Requirements
- BS in Electrical Engineering, Computer Engineering, or related discipline.
- 3+ years of industry experience
- Strong Python skills: automation, hardware I/O, parsing logs, data analysis, packaging/CI practices.
- Ability to understand register maps and leverage HALs for creation of test scripts
- Proficient ECAD skills to develop schematics and oversee layout work: Altium, Mentor Graphics, Cadence or equivalent.
- Hands-on experience developing and deploying manufacturing PCBA tests in a production environment.
- Comfortable with hardware debug using scopes, DMMs, logic analyzers, protocol analyzers; strong troubleshooting instincts.
- Experience working with contract manufacturers and external vendor engineering teams, including clear communication and escalation management.
Nice to have
- Familiarity with FPGA prototyping and basic RTL concepts (enough to support debug/bring-up and test hooks).
- Familiarity with C and/or C++ for embedded firmware development
- Experience with high-speed digital board debug (clocking, SERDES links, power sequencing, SI/PI-related failure modes).
- Solidworks familiarity.
What you’ll get:
- Work alongside best-in-class professionals from over 40 different countries.
- Performance based bonus structure that is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.
- Ownership over initiatives that directly solve business problems.
Alongside this you will get great other benefits such as 25 paid vacation days and market holidays, fully paid health insurance, daily breakfast and lunch, training opportunities, 401(k) match up to 50% and charitable match opportunities, regular social events and clubs, and many more.
At Optiver, we are committed to creating a diverse and inclusive environment of mutual respect. Optiver recruits, employs, trains, compensates and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Ready to apply?
Apply to Optiver
About the Company
About the Role
We are seeking a talented and motivated Senior DevOps Engineer to join our dynamic team. The Senior DevOps Engineer will need to hold TS/SCI clearance for TS/SCI, FedRAMP, and DoD-accredited programs. If you are passionate about deploying and managing cutting-edge technologies, optimizing development processes, and ensuring the reliability and security of our systems, we want to hear from you.
You will work in close partnership with Engineering, Cloud Platform and Federal team, aligning engineering delivery with our Federal growth strategy, customer mission priorities, and compliance milestones. Together, you’ll ensure that Armada’s technology meets the technical, operational, and regulatory expectations of our federal partners.
Location. Seattle, WA (preferred) · Virginia / Washington, DC metro area · Austin, TX.
What You'll Do (Key Responsibilities)
- Design, implement, and maintain continuous integration and delivery (CI/CD) pipelines.
- Collaborate with development and operations teams to automate and streamline deployment and operations processes.
- Manage and monitor infrastructure on cloud platforms, with a focus on Azure.
- Implement and maintain Kubernetes clusters for container orchestration.
- Work closely with development teams to troubleshoot and resolve issues in development, test, and production environments.
- Collaborate with cross-functional teams to implement security best practices.
- Utilize GitHub for version control and collaboration.
Required
- Active TS/SCI clearance.
- U.S. Citizenship required.
- Bachelor's degree in Computer Science, Information Technology, or relevant field.
- Proven experience as a Senior DevOps Engineer or similar role.
- Solid experience with Kubernetes for container orchestration.
- Proficient in Azure cloud services, with hands-on experience in managing resources.
- Strong understanding of CI/CD concepts and experience implementing pipelines.
- Familiarity with infrastructure as code (IaC) tools such as Terraform.
- Proficient with version control systems, especially GitHub.
- Scripting skills in languages such as Bash, Python, or PowerShell.
- Experience with monitoring and logging tools for infrastructure and applications.
Preferred
- Experience with AWS GovCloud, Azure Government, or similar secure cloud platforms.
- Familiarity with air-gapped or tactical edge deployments.
- Certifications such as CISSP, CCSP, or FedRAMP Practitioner.
- Experience collaborating with system integrators, primes, or federal agencies.
Citizenship Requirements
For select roles, due to the nature of our clientele and the technologies involved, there may be specific nationality or citizenship indicated in the required qualifications section. These roles may involve access to sensitive information that is subject to export control regulations or other legal restrictions. In such cases, employment offers will be contingent upon your ability to comply with these requirements.
Compensation & Benefits
For U.S. Based candidates: To ensure fairness and transparency, the base salary range for this role for candidates in the U.S. are listed, varying based on location experience, skills, and qualifications.
In addition to the salary, this role will also be offered equity and subsidized benefits (details available upon request).
Benefits
- Competitive base salary and equity
- Medical, dental, and vision (subsidized cost)
- Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
- Retirement plan options, including 401(k) and Roth 401(k)
- Unlimited paid time off (PTO)
- 14 paid company holidays per year
#LI-SM-2#
LI-Hybrid
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
Senior Site Reliability Engineer
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What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.
Our SRE Team:
We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.
What You Bring to the Team:
- Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
- Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
- Support the CICD process with ArgoCD and GitOps.
- Automate the platform deployments with Terraform infrastructure-as-code.
- Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
- Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
- Optimize system performance and troubleshoot issues as they arise.
- Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets.
- Collaborate with security teams to implement and maintain security best practices.
- Infrastructure support rotation providing guidance to other engineering teams.
What Sets You Up for Success:
- 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
- 5+ years of experience with Kubernetes (EKS) and Helm charts.
- Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
- Experience with infrastructure-as-code methodologies with Terraform.
- Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
- Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
- Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks.
- Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
- Good networking skills with VPC, Security Groups, and Network ACLs.
- Ability to work remotely and manage your own time in a global team.
- Good written and verbal communication in English.
- Bachelor’s degree in Computer Science or equivalent experience.
Bonus Skills to Stand Out:
- Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
- Experience working in a PCI-compliant environment.
- Experience working with Kong API Gateway.
Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
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Apply to Third-Party Job PostsOptiver is looking for Senior Software Engineers to join our High-Frequency Trading (HFT) team in Austin, TX. Our HFT team is comprised of software engineers and researchers who design, improve and execute fully automated trading strategies using machine learning. As a senior engineer, you’ll lead complex technical projects, help shape the direction of our trading infrastructure, and work closely with teams to share knowledge and drive technical progress.
Our software engineers work on some of the most challenging algorithmic problems in the world. The team owns the problem end to end, from data to simulation to the execution of orders in production. The system is built to be robust, enabling research at scale while running complex machine learning models with low latency across thousands of financial instruments.
What you’ll do:
- Establish vision and technical direction for machine learning-driven trading systems that help maintain our position as a leading team in futures and equities trading
- Partner deeply with researchers to solve complex, high-value business problems
- Build and maintain end-to-end trading infrastructure, from research to production execution
- Push frequent, impactful code changes to the production environment
- Contribute to the Optiver stack and our pricing, research and trading models from ideation through to implementation
- Ensure new and existing programs adhere to our coding, architectural, and operational standards
- Develop new and existing programs adhere to our coding, architectural, and operational standards
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
- The opportunity to work alongside best-in-class professionals from over 40 different countries
- A highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Who you are:
- Experience leading large scale projects
- Solid engineering instincts and a deep understanding of computer science fundamentals
- Strong expertise in C++ is strongly preferred; experience with C, Python, or Linux is a plus
- 2+ years preferred of C++ experience in low-latency systems like market data ingestion, order routing, execution performance, or simulation frameworks.
- Innovative, out-of-the-box thinking grounded in real-world pragmatism
- Desire to continuously improve in a rapidly evolving environment
- Readiness to set technical direction, promote engineering principles, and do the right thing
Who we are:
Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Our Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software development and hardware engineering. The team here plays a central role in advancing our heavy investment in machine learning, research infrastructure and big data computing. Located in The Domain neighborhood, the office is surrounded by world-class music, great food and easy access to outdoor spaces, providing a vibrant setting for the team.
We value in-person collaboration across disciplines, and this role is based on-site in our Austin office.
Applicants may submit up to three application per calendar year across all open roles.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Ready to apply?
Apply to Optiver
The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.
What you’ll do:
- Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services that business teams directly interface with.
- Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust.
- Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights.
- Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights.
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
- The opportunity to work alongside best-in-class professionals from over 40 different countries
- A highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Who you are:
- Experience leading large-scale engineering projects
- Strong engineering instincts and a deep understanding of computer science fundamentals
- Experience in distributed systems
- Expertise in Python is required; experience with C, C++, or Rust is a plus
- Experience working with GPUs and the CUDA ecosystem is a plus
- Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
- Commitment to continuous learning and improvement in a rapidly evolving environment
- Excellent communication and collaboration skills for working with global researchers and engineers
- Readiness to set technical direction, promote engineering principles, and do the right thing
Who we are:
Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Our Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software development and hardware engineering. The team here plays a central role in advancing our heavy investment in machine learning, research infrastructure and big data computing. Located in The Domain neighborhood, the office is surrounded by world-class music, great food and easy access to outdoor spaces, providing a vibrant setting for the team.
We value in-person collaboration across disciplines, and this role is based on-site in our Austin office.
Applicants may submit up to three application per calendar year across all open roles.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Ready to apply?
Apply to Optiver
Our Software Engineers build proprietary trading systems which directly impact the financial markets. Our software engineering teams leverage technology to solve a variety of difficult problems.
Our trading strategies must respond to market events in microseconds or less, and we automatically price large, diverse sets of financial instruments with extremely low error tolerance. We continually refine, store, and analyze terabytes of data produced by market activity and our trading systems. Our user interfaces must present coherent, responsive real-time visualizations of market activity and system performance while providing intuitive control of a highly complex system. Our core systems must provide a stable, performant, and trusted foundation on which our systems are built.
Technology at Optiver:
At Optiver we pride ourselves on being real engineers, not just coders. Our engineers work closely with traders to identify the business problems we face and determine how they should be solved. We apply a disciplined and scientific approach. We engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our passion is to solve problems which really matter to the business, and we take pride in the quality of our solutions.
What you’ll do:
- Design, develop, support, and maintain trading systems, tools, and infrastructure
- Collaborate deeply with traders, risk analysts, researchers, and other engineers
- Gain and develop an in-depth understanding of trading theory and practice
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
- The opportunity to work alongside best-in-class professionals from over 40 different countries
- A highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Who you are:
- Strong engineering instincts and a deep understanding of computer science fundamentals
- Experience writing software in C++, C#, C, and/or Python
- A passion for clean code, simple well-architected systems and continuous improvement
- Ability to collaborate with developers, traders, and business operations
Who we are:
Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.
Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Ready to apply?
Apply to Optiver
Senior Software Engineer - Research Platform
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The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.
What you’ll do:
- Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services that business teams directly interface with.
- Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust.
- Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights.
- Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights.
What you’ll get:
You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you’ll receive:
- The opportunity to work alongside best-in-class professionals from over 40 different countries
- A highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
Who you are:
- Experience leading large-scale engineering projects
- Strong engineering instincts and a deep understanding of computer science fundamentals
- Experience in distributed systems
- Expertise in Python is required; experience with C, C++, or Rust is a plus
- Experience working with GPUs and the CUDA ecosystem is a plus
- Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
- Commitment to continuous learning and improvement in a rapidly evolving environment
- Excellent communication and collaboration skills for working with global researchers and engineers
- Readiness to set technical direction, promote engineering principles, and do the right thing
Who we are:
Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Our Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software development and hardware engineering. The team here plays a central role in advancing our heavy investment in machine learning, research infrastructure and big data computing. Located in The Domain neighborhood, the office is surrounded by world-class music, great food and easy access to outdoor spaces, providing a vibrant setting for the team.
We value in-person collaboration across disciplines, and this role is based on-site in our Austin office.
Applicants may submit up to three application per calendar year across all open roles.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Ready to apply?
Apply to Optiver
Staff Backend Software Engineer, RDC Next
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Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
At Realtor.com, we are building products that empower millions of home buyers, renters, and real estate professionals. Our mission is to simplify the home buying/selling process and help more people achieve the dream of home ownership. We are looking for a collaborative and customer-focused Staff Backend Software Engineer to join our RDC Next team. This team creates innovative solutions across the real-estate ecosystem, fostering deeper connections between industry players and consumers.
What You'll Do:
As a Staff Engineer, you will provide technical leadership for our backend ecosystem, architecting the core pillars of our platform.
- Product Partnership: Work directly with Product Managers to deeply understand product requirements, translate them into technical specifications, and ensure the implementation aligns with both user needs and technical feasibility.
- Architect Core Systems: Lead the design, implementation, and testing of high-scale content ingestion pipelines and user-facing APIs that power the consumer and agent experience.
- Advance AI Innovation: Shape our AI platform strategy, integrating machine learning models and agentic AI into production workflows to transform the industry.
- Expand the Ecosystem: Design reliable architectures for 3rd party integrations, ensuring seamless data exchange with external real-estate services and partners.
- Ensure High-Reliability Communication: Build and scale a notification system capable of delivering real-time, meaningful updates to millions of users.
- Operational Excellence: Set the standards for infrastructure, observability, and monitoring, ensuring our distributed systems are resilient, transparent, and scalable.
- Collaborative Leadership: Guide technical decisions for complex features, lead rapid prototyping, and evolve the architecture using Clean Architecture principles.
- Mentor & Support: Act as a mentor to junior engineers, encouraging a culture of continuous learning and high-quality software development.
What You'll Bring:
- 8+ years experience in software architecture and backend systems development.
- Backend Expertise: Proficiency in modern distributed languages such as Python, TypeScript, Rust, Go, or Java.
- Cloud & Infrastructure: Experience with AWS (or similar) and a commitment to operational health.
- Data Modeling: Expertise in relational databases (e.g., Postgres) and NoSQL stores (e.g., DynamoDB, MongoDB).
- System Design: A track record of building scalable APIs, event-driven architectures, and integrations.
- Observability Mindset: A focus on maintaining system health through monitoring, logging, and tracing.
- AI Interest: Curiosity or experience in building AI platforms and agentic workflows.
- Communication: Ability to break down complex problems and share solutions clearly with both technical and non-technical partners.
- Data-Driven: A data-informed approach balanced with strong empathy for the people using our products.
- Education: Bachelor’s degree in Computer Science, a related field or equivalent professional experience.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
- Inclusive and Competitive medical, Rx, dental, and vision coverage
- Family forming benefits
- 13 Paid Holidays
- Flexible Time Off
- 8 hours of paid Volunteer Time off
- Immediate eligibility into Company 401(k) plan with 3.5% company match
- Tuition Reimbursement program for degreed and non-degreed programs
- 1:1 personalized Financial Planning Sessions
- Student Debt Retirement Savings Match program
- Free snacks and refreshments in each office location
Do the best work of your life at Realtor.com®
Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.
Ready to apply?
Apply to Realtor.com Careers
Machine Learning Engineer (Active Secret Clearance)
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Build, Deploy, and Maintain AI for an Unpredictable World
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.
The Role
As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.
You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important.
Your day-to-day will include:
- Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
- Orchestrating and automating complex data engineering and analytic pipelines
- Envisioning, specifying, and, at times, designing and implementing core product functionality
- Conducting mission-critical fieldwork in support of customers and other stakeholders
This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.
The Right Fit
In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.
We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Here’s what we’re looking for:
- BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
- Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
- Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
- Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
- Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
- Active Secret (or above) US security clearance
- Due to the nature of this role, candidates must have US citizenship
The Wish List
We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
- Advanced degree in data science, machine learning, computer science, or a related discipline
- Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
- Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
- Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
- Experience with machine learning applied to imagery and/or video data
- Experience building agentic systems, agentic workflows, or AI agents
- Experience defining, scoping, planning, and delivering complex technical solutions
- Experience delivering technology solutions in secure government environments
The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.
The Benefits
- Medical/dental/vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- HSA and FSA (including dependent care FSA) plans
- 401(k) plan
- Unlimited PTO
- Paid parental leave
Check us out on Built In!
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.
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Senior Software Engineer, Java
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.
With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.
In this role you will
- Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
- Improve performance of our pipeline — we currently process 10k messages/sec and are growing
- Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
- Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
- Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
- Push code to production multiple times a day
What we're looking for
- Degree in Computer Science, Information Technology, or equivalent work experience
- 4+ years of experience with Java and its ecosystem of tooling
- Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
- Experience with AI tooling, or a strong willingness to learn
Nice to have
- Experience with Scala or another functional programming language
- Experience with Linux, Git, and Docker in a CI environment
- Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime
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LI-BRAZIL
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Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
- As a Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.
Key Responsibilities:
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AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.
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Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.
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Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.
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Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).
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Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.
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Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.
Requirements:
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5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.
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Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.
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Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).
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Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.
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Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.
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Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
Nice to have (big plus):
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Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.
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Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
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Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.
Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
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About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
About the team
The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.
Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform.
About the role
As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across their most important business processes. Where needed, you will build custom applications and solutions in TypeScript, JavaScript, Python, and related languages to bring these experiences to life.
You will employ your creativity and technical expertise to ideate and shape how AI, analytics, and workflows are used in customers’ processes. You are a product expert focused on implementation — building, shipping, and iterating to ensure customers get the most out of the DevRev platform.
What You’ll Do
- Customer-Facing: 30% working directly with customers
- Coding & Integration: 70–80% hands-on technical implementation
Build & Deploy
- Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
- Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
- Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience
Data & Insights
- Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
- Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback
Collaboration & Enablement
- Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, and customer success teams
- Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
- Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements
What You Bring
- Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
- Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms.
- Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
- Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
- Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
- Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
- Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
- Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
- Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
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Autonomous Systems Engineer, Motion Planning
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*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
- Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
- Strong experience with Python, any major deep learning framework, and software engineering best practices
- An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
- Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale
- Comfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
$140,000 - $360,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice .
*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages
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