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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
The Advanced Development organization pushes beyond product line boundaries to build new things. We think independently of standard shipping cadences and timelines, working on foundational technologies that will impact every Roku device in the future, and on ideas that no one has seen before in their living room.
We are responsible for driving the architecture of Roku OS, which ships worldwide and runs on devices in more than 85 million streaming households. This work can include anything from optimizing common libraries to redesigning the APIs and development environment used by third-party apps running on our platform. We work hard to ensure our software is optimized across a wide range of platforms, and we are super focused on maximizing customer experience.
About the role
In this role, you will be part of the team responsible for driving modular enhancements to the RokuOS architecture and for providing new ways for channel partners to leverage the modernized experience. You will implement new APIs for parts of Roku's system software and use your refactoring expertise to ensure that the APIs' capabilities satisfy all requirements without any privileged workarounds.
We are looking for a forward thinker, one who has endless curiosity, uses AI, and demonstrates a strong bias for action.
What you’ll be doing
- Design and evolve parts of the RokuOS system software that expose fundamental APIs for the Roku platform, used internally/externally for higher-level SDKs
- Demonstrate excellence in C++ development and deliver high-performance, ultra-reliable software
- Work cooperatively and coordinate small teams to deliver new features on time
- Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and maintainable
We’re excited if you have
- 8+ years of experience in software development, architecture, and API design
- 2+ years of Linux application development
- Ability to accurately estimate software tasks and work to schedule
- Extensive experience in C++20, gdb, git, and adjacent tooling
- Experience with multi-threaded and multi-process development
- Detail-oriented, analytical, methodical, and self-driven
- Bachelor’s and/or master’s degree in computer science, computer engineering, or related technical discipline
Preferred Qualifications:
- Experience serving as a technical lead throughout the software development lifecycle
- Practical knowledge of application architecture and design patterns
#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 team
When you work at Roku, you work on a platform that real people use: You can show off the fruits of your labor to your family and friends and see it in your favorite stores’ electronics departments. As a member of the Roku Products Engineering team, you will design and develop embedded software systems that enable us to build world-class products, with Roku “inside” as their OS. To make this possible, you will work on the Roku OS on new technologies and develop new features while keeping our existing code clean and performant. Additionally, you will work with product managers to accommodate shifting demands and schedules; collaborate cross-functionally with our QA and other development teams; and build solutions with external hardware component vendors.
We value individuals who take pride in their ability to navigate ambiguity, collaborate, and partner with both internal and external teams, including those with demanding engineering standards and a passion for building the highest-performing, best-in-class consumer products. We aren’t kidding that Roku is a place where no one is a bystander. If you want to work on a team where you will be surrounded by the best talent-building things used by millions of people, if you want a tech culture that just works, you should reach out.
About the role
We are looking for a talented engineer to join our Products Team working on the Roku TV program! You will be responsible for the core tasks ranging from Roku OS feature development, SoC partner collaboration, third-party API integration, code maintenance, design scalability solutions to help onboard new factories, supporting our QA and Channel certification teams, and everything else involved in our end-to-end product development and release cycles. To succeed in this challenging role, the following expertise is strongly preferred.
What you'll be doing
- Roku OS feature development
- Code maintenance and scalability solution design and development
- Partner with internal QA and development teams
- System-on-a-Chip (SoC) integration and platform bring-up
- Third-party API integration
- Working end-to-end product development and release cycles
We're excited if you have
- Bachelor's or master's degree in computer science or computer engineering, Electrical Engineering, or other relevant fields
- 8+ years of relevant software development experience
- 4+ years C/C++ coding experience
- System-on-a-chip (SoC) development and integration preferred
- Experience developing/debugging on Linux or Android-based embedded platforms
- Good understanding of Linux system and kernel concepts, multithreading primitives, Linux tools, libraries, and open-source development
- Experience with streaming audio/video platforms, graphics, and industry standards
- Ability to excel in a fast-paced engineering environment
- Have an ability to communicate with candor and effectiveness
- Experience working collaboratively with cross-functional teams
#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
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
Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.
Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.
You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.
We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.
The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.
For California Only - The estimated annual salary for this position is between $350,000 - $510,000 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
Software development & platform ownership
- Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
- Translate product and business goals into concrete designs, tasks, and implementation plans.
- Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
- Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
- Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software.
Multimedia & system-level engineering
- Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications.
- Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations.
- Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases.
- Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts.
Systems-aware implementation integrating hardware-software
- Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity.
- Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS.
- Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics).
- Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks).
Performance engineering in constrained environments
- Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams.
- Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps).
- Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints.
Quality, diagnostics, and observability
- Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components.
- Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting.
- Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms.
Cross-functional collaboration & technical leadership
- Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements.
- Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code.
- Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production.
- Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards
AI and system-level intelligence
- Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
- Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).
We’re excited if you have
Education & experience
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products.
- Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale.
Software development & systems expertise
- Strong experience with embedded Linux or Android-based systems
- Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design.
- Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling.
Multimedia & system knowledge
- Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior).
- Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters.
- Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products.
- Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation.
AI, accelerators, and low-level platforms
- Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints.
- Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements.
- Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need.
Hardware & board-level understanding (bonus)
- Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
- Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software
How you work
- Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders.
- A bias toward data-driven decisions, clear documentation, and repeatable processes.
- Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.
#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
Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.
Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.
You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.
We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.
The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.
What you’ll be doing
Software development & platform ownership
- Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
- Translate product and business goals into concrete designs, tasks, and implementation plans.
- Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
- Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
- Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software.
Multimedia & system-level engineering
- Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications.
- Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations.
- Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases.
- Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts.
Systems-aware implementation integrating hardware-software
- Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity.
- Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS.
- Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics).
- Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks).
Performance engineering in constrained environments
- Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams.
- Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps).
- Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints.
Quality, diagnostics, and observability
- Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components.
- Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting.
- Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms.
Cross-functional collaboration & technical leadership
- Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements.
- Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code.
- Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production.
- Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards
AI and system-level intelligence
- Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
- Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).
We’re excited if you have
Education & experience
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products.
- Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale.
Software development & systems expertise
- Strong experience with embedded Linux or Android-based systems
- Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design.
- Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling.
Multimedia & system knowledge
- Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior).
- Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters.
- Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products.
- Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation.
AI, accelerators, and low-level platforms
- Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints.
- Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements.
- Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need.
Hardware & board-level understanding (bonus)
- Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
- Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software
How you work
- Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders.
- A bias toward data-driven decisions, clear documentation, and repeatable processes.
- Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.
#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.
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Principal Software Engineer (PaaS)
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
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Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
As a Staff Platform Engineer, you will define the technical strategy for how our robotics software is built, packaged, and delivered — from a developer's laptop to a walking humanoid robot. You will own the vision and architecture for our C++ build platform, transforming it into a world-class system that scales with a growing engineering organization and an increasingly complex hardware portfolio.
This role goes beyond building great infrastructure — it requires driving alignment across software, robotics, and embedded teams, shaping engineering culture around build reliability and developer velocity, and ensuring that platform investments are tightly coupled to company-wide program milestones. You'll be the technical authority on build systems and developer tooling, operating as a force multiplier that makes every engineer at Apptronik faster and more effective.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Define and own the long-term technical roadmap for the C++ build platform, aligning infrastructure investments with software program timelines and organizational growth
- Architect scalable build infrastructure — including remote caching, remote execution, and cross-compilation for x86, ARM, and Jetson targets — and drive strategic technology decisions through RFCs that gain cross-team alignment
- Set the standards for hermetic, reproducible builds and artifact provenance that become the engineering-wide default
- Own high-performance build environments and the end-to-end artifact lifecycle — from build output through packaging, versioning, and delivery to physical robots
- Architect and optimize CI/CD pipelines at scale; instrument build health metrics and establish SLOs for build performance, CI reliability, and developer iteration speed
- Manage the C++ dependency ecosystem, balancing developer flexibility with reproducibility and long-term maintainability
- Partner with engineering leadership to shape the developer productivity roadmap and advocate for sustained investment in platform infrastructure
- Drive cross-team initiatives to consolidate fragmented build patterns, eliminate toil, and resolve systemic productivity problems that span team boundaries
- Mentor engineers across the organization on build best practices, acting as the go-to technical authority for build systems and developer infrastructure
- Serve as the escalation point for complex, cross-domain issues spanning application code, build systems, containerization, and infrastructure
SKILLS AND REQUIREMENTS
- Deep expertise with C/C++ and its build ecosystem (e.g., CMake, Bazel, Meson), with the ability to reason about toolchains, linkers, compilers, and build behavior at a systems level
- Proven ability to architect and operate build infrastructure at scale, including CI/CD pipelines, caching systems, and cross-compilation environments
- Strong command of the Linux operating system — including internals, networking, file systems, permissions, and resource management
- Proficiency in scripting and automation (Python, Bash) with an emphasis on building maintainable, production-grade tooling
- Demonstrated experience driving technical strategy beyond your immediate team — through design docs, RFCs, or technical proposals that influenced engineering-wide decisions
- Track record of identifying and solving ambiguous, org-wide technical problems that no single team owns
- Excellent communication skills — ability to translate complex build and infrastructure concepts for diverse audiences and advocate for platform investment to leadership
- Solid understanding of core networking fundamentals (TCP/IP, DNS, HTTP)
EDUCATION and/or EXPERIENCE
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- 5+ years of relevant experience in a DevOps, Software Engineering, or Build/Release Engineering role.
- A proven track record of supporting software development teams by building and maintaining reliable infrastructure and effective tooling.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift 15 pounds at times.
- Vision to read printed materials and a computer screen.
- Hearing and speech to communicate.
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are looking for a Staff Bazel Engineer to build and scale the systems that power how our software is built, tested, and delivered.
Our robotics platform spans multiple languages, platforms, and hardware targets. In this role, you will own and evolve our Bazel-based build infrastructure, enabling fast, reliable, and reproducible builds across a complex system.
You’ll partner closely with software, platform, and robotics teams to ensure our build systems keep pace with rapid development and real-world deployment.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Own and evolve the Bazel build system across a multi-language robotics codebase
- Design and implement scalable build infrastructure, including remote caching and remote execution
- Develop and maintain Starlark rules, macros, and toolchains
- Optimize build and test performance across local development and CI environments
- Troubleshoot and resolve build failures, flaky tests, and dependency issues
- Improve developer workflows both locally and on hardware to reduce friction in build and integration processes
- Partner with engineering teams to onboard services and components to Bazel
- Support and enhance CI/CD pipelines to ensure reliable and efficient releases
- Establish and promote best practices for hermetic and reproducible builds
- Collaborate and mentor other engineers on the team.
SKILLS AND REQUIREMENTS
- Deep expertise and a proven track record of architecting, implementing and maintaining Bazel build systems at scale in production environments.
- Mastery of build systems, dependency management, and CI/CD pipelines and developer tooling with the ability to define the long-term strategic vision for the build infrastructure.
- Extensive experience designing, developing and maintaining complex Starlark rules, macros and toolchains to support diverse language ecosystems.
- Proficiency in one or more core programming languages (e.g., C++, Python, Go, Java)
- Demonstrated ability to drive significant improvements in the build and test performance, reliability and developer efficiency across a large, multi- platform codebase.
- Exceptional troubleshooting and diagnostic skills to solve the most challenging and non-obvious issues within complex, distributed build environments
- Strong technical leadership and influence skills, capable of driving alignment and adoption of best practices across multiple cross-functional engineering teams and actively mentoring junior and senior engineers.
Preferred:
- Experience with remote execution systems (e.g., Bazel RBE, Buildbarn, BuildFarm)
- Familiarity with robotics systems, embedded software, or hardware/software integration
- Experience with containerized environments (Docker, Kubernetes)
- Knowledge of hermetic builds and reproducible systems
EDUCATION and/or EXPERIENCE
- Bachelor’s degree (or equivalent experience) in Computer Science, Computer Engineering, or a related field
- At least 8+ years of experience in software engineering, build systems, or developer infrastructure, including hands-on experience with Bazel
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik is seeking a SimOps Engineer to architect and maintain the large-scale simulation infrastructure required for Apollo, our general-purpose humanoid robot. In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data collection. You will build the scalable frameworks and automated pipelines that allow our teams to perform system-level optimization and reliability analysis, ensuring that virtual testing accurately mirrors the real-world physical performance of Apollo.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Humanoid Simulation Frameworks: Architect and implement scalable, highly-available simulation frameworks. These should support high-fidelity humanoid dynamics, including complex joint interactions and balance controllers, while enabling domain randomization and synthetic data generation.
- HPC & Cloud Orchestration: Deploy and manage High-Performance Computing (HPC) clusters (e.g., GCP, on-prem) to enable sub-24-hour turnaround for massive, ad-hoc simulation requests and parallelized training workloads.
- Metrics & Visualization: Establish robust observability and monitoring to provide insight into simulation health, utilization, and performance.
- Custom Tooling: Develop specialized tools and dashboards (e.g., using Python, Grafana, FastAPI, or Dash) to visualize complex simulation results that require custom interaction or specialized plotting.
- Automated Data Pipelines: Create automated pipelines to extract, transform, and load (ETL) simulation data for large-scale training and performance benchmarking.
- CI/CD & Sim-in-the-loop Testing: Establish CI/CD pipelines for automated code generation and Simulation-in-the-Loop performance benchmarking to catch regressions early in the development cycle.
SKILLS AND REQUIREMENTS
- Robotics Simulation: Expertise in tools such as IsaacSim/IsaacLab, MuJoCo, Gazebo, Omniverse.
- Monitoring & Dashboards: Proficiency with tools like Grafana for infrastructure and telemetry visualization.
- High-Performance Computing: Demonstrated experience managing GPU-accelerated HPC clusters on cloud platforms (e.g., AWS/GCP) or on-prem systems.
- Programming Proficiency: Advanced Python or C++ skills; experience with web frameworks for building internal research tools is a plus; experience with ROS/ROS2 is a plus.
- Automation: Hands-on experience with GitLab, Jenkins, or GitHub Actions for automating software builds and simulation testing.
- Infrastructure as Code (IaC): Comfort deploying IaC using tools like Kubernetes, Helm, Terraform, Ansible, Docker.
- System Optimization: Proven ability to conduct system-level optimization for complex robotic architectures to identify high-performance hardware/software solutions.
EDUCATION and/or EXPERIENCE
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Minimum of 5 years of professional, full-time experience in simulation or infrastructure engineering, with a track record of improving simulation through automation.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are seeking an experienced Site Reliability Engineer to own and maintain the deployment of our cloud-based infrastructure to customer sites. In this role, you will work closely with our Applications Engineers, IT, and software teams to ensure the smooth deployment of our solution which collects training data and deploys models to real-time robotic systems. Providing a reliable framework will accelerate progress integrating Google DeepMind’s Gemini Robotics Model to humanoid robot hardware.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Partnering with customers and Applications Engineers to remove roadblocks to deployment success
- Writing and fixing Infrastructure as Code (Terraform, Helm, Ansible)
- Developing and maintaining code in Python / Typescript
- Troubleshooting networking, performance, and security challenges
- Collaborating with engineering and product teams to shape improvements
- Responding to outages, participating in on-call rotations and traveling occasionally to customer sites to support deployment and integration
SKILLS AND REQUIREMENTS
- Strong communication skills, customer empathy and flexibility to adapt
- Hands-on Linux systems engineering and networking experience
- Proficiency with Infrastructure as Code tools (Terraform, Helm, Ansible)
- Development experience in Kubernetes / Python / Typescript / C++
- Experience creating intuitive and high-utility dashboards and vizualizations (Grafana)
- Integrating real-time monitoring and alerting (eg PagerDuty)
- Takes initiative and seeks ownership of the end-to-end infrastructure solution
- Willingness to travel as needed for client support
EDUCATION and/or EXPERIENCE
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Minimum of 5 years of professional, full-time experience building and maintaining reliable, scalable systems.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
At Apptronik, we are building humanoid robots that require an operating system as sophisticated and resilient as their hardware. As a Senior Embedded Linux Engineer, you will own the entire Linux platform ecosystem. You aren't just "using a build tool"; you are architecting a custom distribution from the ground up to ensure our robots are performant, secure, and field-ready.
Your mission is to manage the full lifecycle of the OS: from factory provisioning and secure imaging to real-time kernel tuning and reliable OTA updates. You will ensure that every cycle of the CPU is optimized for our control loops and that our fleet remains stable.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
Custom OS Architecture & Distribution:
- Architect and maintain a custom, production-grade Linux distribution using Yocto, Buildroot, or an equivalent professional build system.
- Demonstrate complete ownership of the OS layers, managing the relationship between the bootloader, kernel, board support packages (BSPs), and user-space libraries.
- Develop and maintain a highly repeatable and well-documented build process that serves as the single source of truth for all robot compute modules.
Hardware Enablement & Performance Optimization:
- Perform low-level kernel configuration and tuning to meet the strict latency requirements of humanoid robotics.
- Implement core isolation and process priority optimization to ensure critical control loops have deterministic access to resources.
- Optimize the OS footprint and resource utilization (CPU, memory, and I/O) to maximize the efficiency of our Nvidia Jetson (Jetpack) and AMD64 platforms.
- Integrate and debug hardware drivers for peripherals, including Bluetooth (BlueZ), Wi-Fi, and specialized robotics sensors.
Platform Resilience, Provisioning & Updates:
- Factory & Provisioning: Architect the workflows for initial device provisioning, including secure boot initialization, disk partitioning, and factory imaging processes.
- OTA Strategy: Own the end-to-end Over-the-Air (OTA) update architecture (A/B atomic updates) using frameworks like Mender, RAUC, or SWUpdate.
- System Stability: Implement OverlayFS or similar union-mount strategies to create a resilient, "unbreakable" system that supports read-only roots and safe factory resets.
Platform Security & Hardening
- Hardware Root of Trust & Secure Boot: Architect and implement end-to-end Secure Boot chains (from BootROM to Kernel) using TPM 2.0 or Secure Enclaves to ensure only authenticated firmware and OS images execute on the robot.
- System Hardening & Isolation: Implement Linux Security Modules (LSMs) such as SELinux or AppArmor to enforce mandatory access controls; utilize cgroups and namespaces to isolate critical robotics processes from non-critical telemetry.
- Cryptographic Infrastructure: Manage the lifecycle of device identity and cryptographic keys; oversee disk encryption (dm-crypt/LUKS)
Infrastructure & Tooling:
- Own the CI/CD pipeline for OS image generation, ensuring that builds are automated, tested, and traceable.
- Create and maintain comprehensive documentation for the platform architecture, build environment, and flashing procedures.
- Develop specialized diagnostic tools (Python/Bash) for system monitoring and field troubleshooting.
SKILLS AND REQUIREMENTS
- OS Construction: Proven ability to build a custom Linux distribution from scratch. You must understand how to manipulate every layer of the rootfs and toolchain.
- Build System: Experience Yocto/OpenEmbedded, Buildroot, or equivalent professional-grade embedded build environments.
- Kernel & Performance Tuning: Experience with PREEMPT_RT, core isolation (isolcpus), and tuning Linux for real-time robotics or industrial control.
- Nvidia Ecosystem: Deep familiarity with Nvidia Jetson hardware, including L4T, Jetpack SDK, and flashing utilities.
- Resiliency Engineering: Hands-on experience with OverlayFS, partition management, and fail-safe OTA update mechanisms.
- Security Engineering: Hands-on experience with LUKS disk encryption, TPM 2.0 integration, and managing PKI (Public Key Infrastructure) for embedded devices.
- Hardware Interfacing: Experience debugging hardware protocols (I2C, SPI, UART, USB) and wireless stacks (Bluetooth/BlueZ).
- Documentation & Process: A disciplined approach to documentation and creating repeatable engineering processes.
Preferred:
- Experience with "Modern DevOps" (Containerized build environments, GitLab CI, or automated hardware-in-the-loop testing).
- Knowledge of Secure Boot, disk encryption, and TPM integration.
- Knowledge of real time operating systems
- Programming experience in C++ and Python.
EDUCATION and/or EXPERIENCE
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- 5+ years of experience in Embedded Linux or Systems Engineering.
- Demonstrated experience shipping and maintaining a custom Linux OS on high-complexity physical hardware.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test (RSIT) team. In this role, you will write the automated tests that verify Apollo's software at the integration layer, partner with senior engineers on defect investigations, and help grow the regression coverage that keeps each release safer than the last. You will work hands-on with our pytest-based test infrastructure, HIL benches, and the broader RSIT platform to turn software-level requirements into verifiable tests. This is a role designed for someone who wants to grow into deep expertise in robotics test engineering, with mentorship from senior teammates and meaningful ownership of test suites from day one.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Test Authoring: Write automated integration, contract, and ICD conformance tests in pytest against software-level requirements, with clear pass/fail signals that feed the release gate.
- Defect Investigation: Partner with senior engineers on root-cause investigations for CI failures, escaped defects, and stochastic issues, building familiarity with debugging tools (sanitizers, log analysis, MCAP playback) over time.
- Regression Coverage: Convert defects into permanent regression tests, ensuring every escape becomes a new automated check in the gate.
- HIL Test Execution: Run and maintain test suites on hardware-in-the-loop benches, capture data, and report results into the team's dashboards and result reporting systems.
- Test Suite Maintenance: Keep existing test suites healthy: triage flaky tests, update fixtures as the stack evolves, and improve readability and reliability of test code.
- Requirements Engagement: Read software-level requirements and Systems Validation plans, ask clarifying questions, and surface ambiguity or untestable language to senior teammates and Systems Engineering.
- Tooling Feedback: Serve as an active customer of the RSIT platform, surfacing friction in CI, dashboards, or release tooling so the Release & Integration team can improve developer experience.
- Cross-Functional Collaboration: Work with stack engineers, firmware engineers, and senior RSIT teammates to understand the systems being tested and produce verification that reflects how those systems actually behave.
SKILLS AND REQUIREMENTS
- Programming: Working proficiency in Python, including ability to write clean, maintainable test code and small utility scripts. Comfort reading C++ to understand the systems under test.
- Test Frameworks: Hands-on experience with pytest or an equivalent framework (unittest, Google Test, JUnit), including fixtures, parameterization, and test organization.
- Linux Comfort: Day-to-day fluency on the Linux command line, including basic systemd, log inspection, file system navigation, and shell scripting.
- Version Control: Solid Git fundamentals, including branching, pull requests, and code review participation.
- Debugging Mindset: Demonstrated curiosity and persistence in tracking down bugs, including willingness to read code in unfamiliar parts of the stack to understand a failure.
- Communication: Ability to write clear bug reports, test documentation, and pull request descriptions. Comfort asking questions and surfacing blockers early.
- Learning Orientation: Eagerness to grow into deeper expertise in robotics, real-time systems, and verification engineering through mentorship, code review, and hands-on work.
- Preferred Qualifications:
- Exposure to ROS or ROS2.
- Experience with CI/CD systems (Bitbucket Pipelines, GitHub Actions, Jenkins, or similar) as a user.
- Familiarity with hardware-in-the-loop testing or other forms of hardware-integrated software verification.
- Experience with observability tools (Grafana, Loki, Prometheus) as a consumer of dashboards and logs.
- Background in robotics, autonomous systems, aerospace, or another hardware-integrated domain through coursework, internships, or prior roles.
- Familiarity with sanitizer tooling (ASan, TSan, UBSan) or other dynamic analysis approaches.
EDUCATION and/or EXPERIENCE
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field.
- 2-4 years of professional experience in software development, test engineering, or a related discipline. Strong internship and project experience may substitute for a portion of this requirement.
- Experience writing or maintaining automated tests in a production codebase is strongly preferred.
PHYSICAL REQUIREMENTS:
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik is seeking an Integration Engineer to join our Fleet Connect team. As we scale the deployment of Apollo at customer sites, you will be the primary engineer responsible for integrating humanoid robotic systems into live production facilities. Your role is to bridge the gap between our advanced software stack and traditional industrial automation. You will ensure seamless communication between Apollo, hardware safety systems (e.g., PLCs, light curtains), and enterprise management software (WMS/ERP). You will be instrumental in creating the workflows and interfaces that allow our robots to navigate, execute tasks, and report health metrics within complex, dynamic environments.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Industrial Automation: Link robotic platforms to traditional automation systems, including PLCs and hardware safety systems such as light curtains and emergency stops.
- Enterprise Software Orchestration: Facilitate job and work orchestration by integrating with customer ERP and Warehouse Management Systems (WMS) via REST APIs or message brokers.
- Workflow Development: Design and implement intuitive interfaces and workflows for facility mapping, map annotation, labeling, and work ingestion queues.
- Fleet Coordination: Develop and maintain systems for coordinating and monitoring robot job progress, navigation, and scheduling.
- Metrics & Monitoring: Implement robust monitoring solutions (e.g., Grafana, MQTT) to track and report on fleet health and performance metrics.
- Troubleshooting: Diagnose and resolve complex robot integration issues, debugging hardware-software interfaces in real-time environments.
- Cross-functional Collaboration: Interface with UI/UX, systems, software, hardware, and applications teams to deliver features that satisfy system-wide requirements.
SKILLS AND REQUIREMENTS
- Programming Proficiency: Expertise in Python, C++ or TypeScript.
- Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety system integration.
- Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS/ERP connectivity.
- Messaging & Internal Comms: Proficiency with gRPC and Protocol Buffers for low-latency distributed communication.
- User Interface & Experience: Track record of collaboration with UI/UX designers and end-users to iterate on intuitive dashboards and control interfaces.
- Version Control: Demonstrated competence with Git or version control of distributed systems.
- Infrastructure Tools: Familiarity with Linux, Docker, and containerization technologies.
- Fleet Management: Prior experience in human-AMR planning, task allocation, and multi-agent coordination.
- System Design: Strong understanding of distributed execution and software design patterns.
EDUCATION and/or EXPERIENCE
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Minimum of 3 years of professional, full-time experience building and maintaining reliable, scalable systems.
- Experience architecting workflow definitions for autonomous systems and/or integrating robotics systems into production environments.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
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Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik is seeking a Full-Stack Software Lead to lead the technical direction and delivery of the Interface team within Fleet Connect. In this role, you will guide the design and execution of the software systems that connect Apollo to customer workflows, operational dashboards, and enterprise infrastructure. You will combine hands-on development with technical leadership, partnering closely with product, applications, hardware, systems, and UX teams to deliver reliable, scalable software into live production environments. Your work will shape both the architecture of the Interface platform and the engineering practices that enable the team to execute effectively.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
- Technical Leadership: Set the architectural direction for the Interface platform; review designs and code, establish engineering standards, and guide implementation across frontend, backend, and integration layers.
- Execution Leadership: Partner with product and program stakeholders to translate roadmap priorities into executable plans, unblock delivery risks, and ensure the team ships high-quality software on a predictable cadence.
- Team Development: Mentor engineers through design reviews, technical coaching, and structured feedback, helping raise the team’s technical depth and execution quality.
- Full-Stack Development: Contribute directly to the development of operator-facing web applications and backend services that support fleet management, robot monitoring, and production operations.
- API and Integration Design: Architect and build REST APIs and gRPC services that interface with the robotics platform, customer WMS and ERP systems, and internal data pipelines.
- Industrial Automation: Lead integration efforts with customer automation systems including PLCs, hardware safety systems, and messaging infrastructure used in live production facilities.
- Reliability and Quality: Own software quality across the Interface product by driving test strategy, observability, maintainability, and operational readiness.
- Cross-Functional Collaboration: Work closely with UI/UX, systems, hardware, applications, product, and deployment teams to deliver features that satisfy system-wide requirements and customer needs.
SKILLS AND REQUIREMENTS
- Programming: Expert-level proficiency in Python and TypeScript; experience with C++ is a plus.
- Frontend: Strong track record with React or equivalent modern frontend frameworks, including component-based architecture and state management patterns.
- Backend: Demonstrated expertise designing REST APIs, microservices, and gRPC or Protocol Buffers based services for distributed systems.
- Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety-system integration.
- Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS, ERP, or adjacent enterprise workflows.
- Infrastructure: Familiarity with cloud platforms, Kubernetes, Docker, and the operational considerations of deploying software into production environments.
- Leadership: Proven experience leading small engineering teams or owning technical direction for a product area while remaining hands-on.
- Version Control: Demonstrated competence with Git and distributed development workflows.
- Preferred Qualifications:
- Experience with fleet management, task allocation, or multi-robot coordination systems.
- Prior experience in a Tech Lead, Staff Engineer, or equivalent capacity in robotics, automation, logistics, or industrial software.
- Experience partnering closely with UI/UX teams and incorporating user feedback into product decisions.
EDUCATION and/or EXPERIENCE
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 8-10+ years of professional, full-time experience building and shipping production software systems, including significant full-stack or distributed systems work.
- 2+ years leading technical direction for a team or product area.
- Experience deploying software into robotics, automation, logistics, or other operationally complex environments is strongly preferred.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
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Security Software Engineer, Infrastructure Security (Staff or Senior)
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We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.
The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.
This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.
Responsibilities:
- Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
- Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
- Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
- Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
- Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
- Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services
Qualifications:
You might be a great fit if you match some of the following:
- 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
- Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
- A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
- Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
- Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
- Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
- A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
- Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.
Req ID: 2263171228
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Senior Partner Solutions Architect
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We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
As an ideal candidate, you will have:
- 8+ years of pre-sales experience with enterprise software and technical aptitude
- Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
- Experience with scalable and highly available distributed systems
- 2+ years of software development experience
- Excellent presentation and communication skills
- The ability to travel up to 50%
- A Bachelor’s degree or equivalent work experience
- Professional proficiency in speaking and writing Portuguese and English
- Professional proficiency in speaking and writing Spanish is highly preferred
As an ideal candidate, you may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data modelling
- Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
- A cloud provider certification
- A MongoDB Certification
What you do at MongoDB:
- You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB
- You confidently articulate the business value of MongoDB solutions and bridge this to technical value
- You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises
- You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
- You translate technical concepts and patterns into business benefits for management and executives
- You act as a liaison, gathering feedback from the field to relay back to the Product Management team
- You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
- You demonstrate resilience and sound judgment in dealing with business challenges
- You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
- You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
- You have situational awareness and react appropriately in group settings
Particularly with Partners:
- You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
- You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
- You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
- You have a strong understanding of partner business model, value, and needs
- You demonstrate the ability to anticipate and respond appropriately to partner objections
- You are seen as a “Trusted Advisor” with technical partner stakeholders
- You team up to build joint proposals with partners for the client
- You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
- You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
- You create strategies that map specific industry trends to account base within local partner organizations
- You create strategies that map competitive threats within local partner organizations
What you will learn:
- The rapidly expanding MongoDB product suite, including:
- Core database server
- Atlas (fully managed cloud database service)
- Atlas Data Lake
- Atlas Full-Text Search
- Realm
- Charts
- Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
- Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
- Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
- Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
- Exposure to a wide variety of market verticals and broad spectrum of interesting use cases
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.
REQ ID: 1273379214
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
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Principal UEFI Engineer
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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 an elite 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 diverse 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 an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms.
This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments.
The Team
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.
The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure.
The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform architects to enable reliable server platform bring-up and operation.
Responsibilities and Duties
- Design, develop, and deploy UEFI-based firmware for hyperscale server platforms.
- Collaborate with ODM partners throughout the design lifecycle from concept to mass production.
- Integrate UEFI firmware into CI/CD pipelines enabling automated builds, regression testing, and static analysis.
- Develop firmware functionality supporting platform initialization including CPU, memory, PCIe, and system interconnects.
- Implement system firmware security features including root of trust, secure boot chains, and signed firmware updates.
- Develop platform firmware features supporting server reliability, availability, and serviceability (RAS).
- Build firmware interfaces supporting telemetry, firmware updates, and system management capabilities.
- Collaborate with hardware, BMC, security, and validation teams to ensure full platform integration.
- Debug and perform root cause analysis for firmware and hardware issues across lab and production environments.
Candidate Profile
Essential
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
- 10+ years of experience developing UEFI or BIOS firmware for server platforms.
- Strong expertise with UEFI, TianoCore, and firmware architecture design.
- Experience developing firmware solutions for hyperscale or cloud data center environments.
- Strong programming skills in C/C++.
- Deep understanding of DDR memory training, cache coherency protocols, and PCIe subsystems.
- Strong knowledge of server platform architecture including power delivery, thermal management, sensors, and FRUs.
- Experience implementing CI/CD pipelines for firmware development.
- Experience debugging system firmware using logic analyzers, JTAG, GDB, and similar tools.
Desirable
- Experience developing UEFI firmware for ARM-based server platforms.
- Experience with EDK II codebase development and upstream contribution.
- Experience working with ODM/JDM partners on server platform development programs.
- Experience delivering firmware for hyperscale cloud deployments and production environments.
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.
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Simulation Engineer - Design and Behavior - Dexterity
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Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are seeking an early-career Simulation Engineer to join our growing Simulation team as a generalist contributor. This is an opportunity to learn humanoid simulation across its full breadth — from physics and contact modeling through scene authoring, asset pipelines, and developer tooling — while contributing to multiple ongoing initiatives at once.
You will work across several of the team's focus areas, with near-term emphasis on supporting our dexterous-hand simulation work. As we hire a senior owner for the Dexterity domain, you will help build the foundational infrastructure they will grow into, and over time develop depth in the area where your interests and the team's needs align best.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Dexterity Foundations: Build and maintain hand collision geometry (primitive decomposition, mesh cleanup). Author evaluation scenes and dexterity benchmarks in Isaac Lab / Isaac Sim from specifications. Run sim-to-real comparison experiments and produce comparison reports.
- Design-Time Simulation: Contribute to the CAD-to-simulation pipeline — kinematic graph extraction, collision geometry, mass and inertia property handling. Run design-space exploration experiments per protocols defined by senior team members.
- Robot Description & Asset Pipeline: Help maintain canonical robot models — joint limits, inertias, collision properties. Build and maintain regression tests and validation tooling for the robot assets the rest of the org depends on.
- Production Platform Contributions: Contribute to the simulation platform's tooling, examples, CI infrastructure, and developer documentation. Triage user-reported issues and help unblock other teams using the platform.
- Team Contributions: Own onboarding docs and example scenes that help new engineers get productive on the platform — your perspective as the newest team member is a real asset here.
SKILLS AND REQUIREMENTS:
Must-Have
- 0–2 years of professional software engineering experience (strong internship or research project experience qualifies)
- Strong Python skills
- Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming
- Coursework or project experience with robotics simulation, computational geometry, or computer graphics
- Demonstrated curiosity and willingness to work across multiple domains rather than specializing immediately
Nice-to-Have
- Hands-on experience with Isaac Sim, MuJoCo, Gazebo, or equivalent simulator (coursework or projects count)
- Familiarity with USD, URDF, MJCF, or other robot/scene description formats
- Exposure to mechanical engineering, robot hardware, or sim-to-real workflows
- Some C++ exposure
- Internship or research experience in robotics, gaming, or graphics
EDUCATION and/or EXPERIENCE:
- BS in Computer Science, Robotics, Mechanical Engineering, or related field. MS welcome but not
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
Ready to apply?
Apply to Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
We are seeking a Staff Simulation Engineer to be the sole owner of dexterous hand simulation at Apptronik.
This is a high-autonomy, high-impact individual contributor role. You will define how hands are represented in simulation — from contact geometry and physics fidelity all the way through sim-to-real validation — and you will be the authoritative technical voice across Mechanical Design, Controls, and Hardware whenever simulation of the hand is in scope. There is no team beneath you, but your work directly unblocks multiple teams.
Core mandate: make simulation a reliable predictor of physical hand behavior, and own that standard end-to-end.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Contact Dynamics & Physics Fidelity: Own the accuracy of contact simulation for high-DOF robotic hands. Model and tune contact parameters — stiffness, damping, friction, restitution — against real hardware measurements. Develop and maintain hand-specific collision geometry (primitive decomposition, mesh optimization) to ensure simulation contact behavior matches physical interaction.
Sim-to-Real Validation: Design and execute systematic sim-to-real validation workflows. Run side-by-side comparisons of grasping stability, fingertip contact forces, and joint behavior between simulation and hardware. Drive iterative parameter calibration using real sensor data — encoders, F/T sensors, tactile arrays — until simulation predictions are quantifiably reliable
Sensor & Actuator Modeling: Build accurate models of the hand's sensing and actuation systems within simulation — including tactile sensor response, actuator dynamics (compliance, backlash), and encoder noise characteristics.
Evaluation Scene Construction: Design and implement evaluation environments and dexterity benchmarks in Isaac Lab / Isaac Sim. Own the physical property modeling — contact materials, object mass/inertia, surface textures — required for high-fidelity task simulation.
Asset Pipeline: Contribute to CAD-to-USD conversion workflows as needed — collision mesh generation, joint limit extraction, kinematic parameter import. This is infrastructure support, not a primary focus.
SKILLS AND REQUIREMENTS
Must-Have
- 4+ years of hands-on robotic simulation experience (Senior); 7+ years (Staff)
- Experience with robotic hands or high-DOF manipulators
- Demonstrated experience with contact-rich simulation — not just kinematics and trajectory playback
- Experience with physics parameter identification (sysid) or domain randomization pipelines
- Proven ability to operate as a domain owner: setting technical direction, making independent architectural decisions, and driving cross-functional alignment through expertise
- Strong Python skills; C++ a plus
- Solid fundamentals: rigid body dynamics, contact mechanics, collision geometry, spatial math
- Hardware-grounded: experience running sim-to-real comparisons with real sensor data
Nice-to-Have
- Deep working knowledge of Isaac Sim, MuJoCo, or equivalent modern robotics simulator
- Familiarity with tactile sensing or F/T sensor integration in simulation
- USD proficiency: composition arcs, layers, stages
- Background in teleoperation or motion retargeting
EDUCATION and/or EXPERIENCE
- MS or PhD in Robotics, Computer Science, Mechanical Engineering, or related fields.
PHYSICAL REQUIREMENTS
Prolonged periods of sitting at a desk and working on a computer
Must be able to lift 15 pounds at times
Vision to read printed materials and a computer screen
Hearing and speech to communicate
*This is a direct hire. Please, no outside Agency solicitations.
Apptronik 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.
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Electrical Engineer, Robotics
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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 Surgery & Robotics Hardware Team is looking for Electrical Engineers who want to advance the future of healthcare solutions with technology. At Neuralink we recognize that increasing healthcare costs, lack of access, and insufficient numbers of neurosurgeons globally require new approaches to enable greater access to our devices. To address these challenges we design fully autonomous robotics systems, human assistive surgical tools, and design entire surgical suites in order to provide better experiences for our customers.
Our team works on our surgical robot system which aims to fully automate the implantation of the Neuralink implant. We design and integrate multi-axis robotic arms, perception systems including custom imaging hardware, optical coherence tomography tissue imaging, power electronics, and safety systems such as 3D spatial mapping/object avoidance sensors. Robotics is part of a larger system of tools we work on. For example, using pre-op MRI scans we generate patient anatomy data that we later use in surgery to register precise surgery site locations.
In addition to research and development of modern surgical technology, we also are responsible for bringing these technologies to market. We perform full lifecycle testing for all devices we design and ultimately manufacture them for use in human surgeries. To date, our designs have served over 20 individuals, and in the coming years our designs will serve thousands of individuals who wish to use our implant technology.
Job Description and Responsibilities:
As an Electrical Engineer on the Surgery & Robot Hardware Team, you will be expected to design, verify, and oversee the transition to production of a variety of custom electronics systems. This role offers substantial autonomy and the exciting opportunity to own creative decisions and execute on new, impactful projects such as robotics stage designs, motor drives and controls, custom camera designs, manufacturing automation, and the firmware that enables all of these devices.
Required Qualifications:
- Bachelor’s degree in Electrical Engineering or a related field or equivalent experience
- Professional experience delivering on all phases of electronics design (requirements, part selection, schematic, layout, manufacturing, test)
- Demonstrated depth in at least one of the following:
- Power electronics: experience designing custom power conversion, distribution, eFusing, and battery management systems in the low-to-medium (1W-2kW) range
- FPGA hardware design for time sensitive systems such as image processing, high-speed data acquisition, or real time networking. Professional experience in FPGA selection, RTL development, digital signal processing theory and techniques, and hardware design to interface high speed physical layer devices via PCIe, MIPI, SLVS-ec, LVDS, etc
- Manufacturing automation design: professional experience architecting and implementing manufacturing automation solutions for products that currently ship at the scale of 1000’s+
- Practical electronics design knowledge including designing for EMC, ESD, thermals and packaging
Preferred Qualifications:
- A portfolio showcasing your hardware designs
- Demonstrable experience developing electronics for safety critical systems such as medical devices, aerospace, automotive, or military
- Demonstrable experience shipping code in one of the following languages: C, C++, Python, or Rust
- Altium experience
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
Electrical Engineer Intern, Implant Embedded Systems
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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:
We build the electrical systems that make high-bandwidth brain–computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration—all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.
Job Description and Responsibilities:
We are looking for an experienced, hands-on electrical engineer for implant electronics board design, integration with our custom chips, testing, and quality control. You will have the opportunity to contribute to advanced projects, not only work on incremental changes, and be an integral member of a small, fast-moving team. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as collaborating closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration.
- Utilize electrical engineering fundamentals and best system design practices to build on your ability to deliver high-performant, reliable, and manufacturable extremely size-constraint systems
- Gain understanding of all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
- Contribute to R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
- Gain experience working cross functionally to ensure successful systems integration
- Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
- Develop ability to design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control
Required Qualifications:
- Strong EE fundamentals
- Experience designing PCBs for low power and size constrained applications
- Experience with PCB CAD tools (Altium, Eagle, KiCad, Allegro)
- Experience with sensors, power management, and signal/power integrity
- Comfortable with common communication protocols (SPI, UART, I2C, etc.)
- Comfortable with lab equipment (oscilloscope, VNA, etc.)
- Basic C and Python programming skills
Preferred Qualifications:
- Experience with firmware development for embedded systems (C/C++)
- Experience with wireless systems (BLE, WIFI, Zigbee)
- Experience building and bringing-up MCUs or FPGA
- Proficiency with ME CAD tools (Solidworks, AutoCAD)
- Experience with analog circuit design
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
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
Digital IC Design Engineer Intern
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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-computer interfaces. 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 and Responsibilities:
We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:
- 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 implementation of hardware/software interface with firmware engineers
- Application-specific architecture optimization including:
- Complex system modeling for energy and performance benchmarks
- Workload analysis and modeling
- Leveraging architecture-level design trade-offs with process technology and workload type
- Balancing energy efficiency and performance under manufacturing process variation
- Complex system-on-chip verification
- Behavioral level modeling and model equivalence check
- FPGA emulation
- Analog mixed-signal co-simulation
- Design for testability
- Collaboration on silicon bring-up tests with silicon validation engineers
Required Qualifications:
- Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
- 2+ years of experience in digital design
- Proficient 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++, or UVM
- Experience automating tool flows
- Experience with embedded design
- Experience in processor instruction set architecture design
- Experience in compiler back-end design and customization
- Experience designing PCBs or writing firmware.
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
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
Embedded Software Engineer Intern, Implant Embedded Systems
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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 Embedded Systems Team, a division of the Brain Interfaces Hardware Department, owns the development of high-performance, safety-critical embedded systems for the next-generation of brain-computer interfaces. As a key member of our team, you will gain hands-on training, work alongside accomplished mentors, and contribute to real-world projects.
Job Description and Responsibilities:
We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant and you have the chance to determine and implement features that have a massive impact on the product’s capabilities. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. The job responsibilities will include:
- Building on your ability to work cross functionally, working with engineers who deliver safety-critical systems while considering power, radio, and thermal requirements
- Gaining an understanding of delivering products and/or core features from planning and design to execution and testing
- Growing your fundamental understanding of hardware while contributing to bare-metal firmware in C
- Contributing to codebase organization, prioritizing modular formats that allow for elegant hardware bifurcation in the field
- Developing the ability to contribute to system improvements that decrease latency and increase battery life, reliability, and safety
Required Qualifications:
- 2+ years of experience with embedded systems
- Proficient in C/C++, and Python
- Knowledge of MCU architectures, peripherals, and development environments
- Comfortable reading electrical schematics and datasheets
- Deep knowledge of the embedded toolchains and workflow
- Strong EE & DSP fundamentals
- HW/SW debugging skills with lab equipment
Preferred Qualifications:
- Experience with embedded stacks for ARM cores
- Experience with safety-critical systems
- Experience with FPGA development and testing
- Experience with RF, BLE, and TCP/IP stacks from a practical embedded perspective
- Prior work or experience with applied cryptography and embedded systems security
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
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
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?
Apply to Neuralink
Software Engineer, Implant Manufacturing
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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:
Join the Brain Interfaces Software Team and be part of a team of remarkable and driven engineers accelerating our pathway to human ready brain-computer interfaces. We are a small, but fast-moving team that collaborates with other exceptional teams of mechanical, electrical, and firmware engineers.
Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.
Job Description & Responsibilities:
We are looking for a versatile Software Engineer who is passionate about architecting and implementing elegant software solutions and thrives with autonomy to propose creative approaches to problems. You will be responsible for writing software to interact with Neuralink’s implant, as well as building systems for manufacturing and testing the device. Additionally, you will be expected to:
- Develop and improve Neuralink’s implant manufacturing line acceptance software and station
- Develop and improve Neuralink's implant design verification testing software
- Optimize and maintain Neuralink’s implant software build infrastructure
- Develop and improve Neuralink’s implant SDK
Required Qualifications:
- Fluent in Python and at least one system language including Rust, C++, and C (don’t get hung up on this—being an exceptional software engineer matters above all)
- Experience and proficiency with Linux/Unix systems
- Evidence of exceptional ability in engineering, mathematics, or computer science
- Solid understanding of engineering first principles
- Strong intuition for what matters in a production system vs. research-grade environments
Additional Requirements and Competencies:
- You find large challenges exciting and enjoy discovering and defining problems as much as solving them
- You deliver; you may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that what matters is delivering reliable solutions (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
- You are mission-driven and goal-oriented in your approach to solving problems
- You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
- You are resourceful, flexible, and adaptable; no task is too big or too small
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
Software Engineer, Infrastructure
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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 Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.
Tech Stack:
- Rust, Python
- Terraform
- Bazel and Nix
- Kubernetes
- GitLab CI
- AWS
- Ubuntu, Fedora
Focus:
- Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
- Enhancing developer experience with robust tooling and build-system infrastructure.
- Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
- Ground-up infrastructure of on-premise solutions as well as cloud architecture.
- Foundational software engineering with a focus on serving internal software teams.
Qualifications:
- Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
- Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
- Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
- Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
- Systems administration experience on Windows, macOS, and Linux.
- In-depth understanding of modern networking and common protocols.
- Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.
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
Software Engineer, Robotics
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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.
Our robotics integrate actuated devices with microelectromechanical systems as well as novel surgical procedures. These applications place strong emphasis on high-precision, high-repeatability mechanical motion, as well as high reliability and fail-safe design. You will be responsible for writing software and making sure your code works on an actual surgical robot, not just simulation.
Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.
Required Qualifications:
- Evidence of exceptional ability in engineering or computer science.
- Hands-on experience with robotics or high reliability systems.
- Experience coding in Linux and a system language like C/C++/Rust.
- Strong understanding of engineering first principles.
- Proven history of shipping products.
Preferred Qualifications:
- Experience in computer vision.
- Experience working on medical robots.
- Experience working with high precision systems.
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
Firmware Engineer, Robotics and Surgery Engineering
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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:
At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team — a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals — collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience.
Job Description and Responsibilities:
This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass:
- Developing and optimizing embedded software for robotic surgery applications
- Streamlining our codebase by refining and, when necessary, retiring legacy embedded software
- Rigorous testing and validation of software systems to meet the highest safety and reliability standards
- Participating in peer code reviews
- Writing drivers and applications to extend the functionality of our robotics
- Specifying hardware and software choices as we develop future hardware platforms
- Sharing your findings and progress with the team in a collaborative environment
Required Qualifications:
- Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving
- Proven experience in software development, preferably with exposure to embedded systems
Preferred Qualifications:
Embedded Software Development:
- 2+ years of experience with embedded systems
- Proficient with common communication protocols (SPI, UART, I2C, etc.)
- Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
- Proficient in at least one embedded language such as C, C++, or Rust
- Proficient with embedded toolchains and workflow
- Experience building and bringing-up MCUs or FPGAs
- Experience with embedded stacks for ARM cores
- Experience developing on embedded Linux platforms
- Experience with embedded Linux kernel configuration and device tree setup
- Experience with kernel driver development
- Experience with ARM bootloaders
- Experience coding drivers for actuators and sensors
- Experience with high speed data acquisition and processing
Electrical Engineering:
- Foundational understanding of MCU architectures and peripheral integration
- Solid knowledge in electrical engineering and DSP
- Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment
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
Software Engineer Intern, Robotics
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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 Robot Software Team builds software that enables scalable neurosurgery that allows safe implantation of the N1 device, ranging from core control, sensors and perception, autonomy, surgery analytics, and more. This role tightly integrates with the robot hardware team, surgery engineering team, as well as the BCI applications team which rely on us to deliver safe and effective implantation of the N1 device.
Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.
Job Description and Responsibilities:
As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing software and making sure your code works on an actual surgical robot, not just simulation. Our robotics integrate actuated devices with microelectromechanical systems as well as novel surgical procedures. These applications place strong emphasis on high-precision, high-repeatability mechanical motion, as well as high reliability and fail-safe design. You will be expected to:
- Develop safety-critical software for the robot; you are responsible for contributing directly to surgery-ready software as an intern
- Take ownership of a project that is integral to robot functioning from design to implementation under the guidance of a robot software team member
- Jump on problems when they arise with a strong bias for action to support robot operation by non-software teams
- Work across different engineering disciplines; your software may involve interactions with the mechanical, electrical, biological, and neuroscience teams
Required Qualifications:
- Evidence of exceptional ability in engineering or computer science
- Experience in writing performant applications in a system language like C, C++, and Rust
- Ability to work on mission-critical and safety-critical systems
- Strong bias for action and first principles thinking
Preferred Qualifications:
- Hands-on experience with robotics or high-reliability systems
- Experience coding in Linux and debugging on Linux systems
- Experience in computer vision
- Experience in kinematics and motion planning
- Experience working on medical robots
- Experience working in a high-precision environment
Pay Transparency:
Based on California law, the following details are for California individuals only:
California Hourly Rate:
$35/hr USD
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
ICON is looking for a Senior Robotics Software Engineer to join our Software team in Austin, TX. As a Senior Robotics Software Engineer, you will help develop and maintain robotic control software for all of ICON’s robotic systems. You will be responsible for developing high-performance C++ software to drive complex arm motions, integrating real-time sensor data, and ensuring reliable motion planning. This role is based at ICON’s Austin, TX headquarters, and will report to the Director of Embedded Software Engineering.
RESPONSIBILITIES
- Design, develop, and optimize high-performance C++ software for controlling and coordinating large-scale robotic arms.
- Develop robust motion planning and trajectory generation algorithms to safely navigate industrial arms through complex workspaces.
- Implement real-time sensor fusion and state estimation algorithms (using sensors like IMUs, LiDAR, etc.) to improve arm localization and end-effector precision.
- Program robotic arm motions in coordination with other systems.
- Develop and maintain simulated environments and automated test frameworks to support continuous integration and system verification.
- Lead system integration and validation efforts across hardware and software.
- Participate in architecture decisions for controls and electrical systems, including component selection and standardization.
- Participate in design & code reviews to maintain consistency and high-quality output.
MINIMUM QUALIFICATIONS
- Masters Degree or higher in Software Engineering, Robotics, Mechanical Engineering, or a related field.
- 5+ years of professional experience in robotics software development.
- Expert-level proficiency in modern C++ (17 or newer) and Python within a professional robotics software development environment.
- Deep foundational understanding of robotic arm kinematics (forward and inverse), multi-body dynamics, and motion planning.
- Hands-on experience with robotic platforms, sensors, actuators, localization, perception, and control systems.
- Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters).
- Strong knowledge of autonomy algorithms, robotics frameworks (such as ROS), and simulation environments.
PREFERRED QUALIFICATIONS
- Experience programming industrial robots in high-level languages.
- Experience in formal control theory and linear algebra.
- A general understanding of how to manage redundant kinematic chains or stabilize dynamic systems.
- Proven track record of delivering products to end users and production environments.
- Familiarity with hardware design, prototyping, and manufacturing processes.
- Excellent problem-solving skills and a strong analytical mindset to identify issues, propose innovative solutions, and make data-driven decisions.
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.
Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).
Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.
As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.
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Apply to ICON
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
Principal Hardware Diagnostics Engineer
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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 an elite 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 diverse 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 an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms.
This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters.
The Team
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.
The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale.
The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters.
Responsibilities and Duties
- Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems.
- Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry.
- Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems.
- Develop diagnostics tools capable of detecting hardware health conditions and isolating failures.
- Create diagnostic modules used for internal validation and production data center operations.
- Provide detailed hardware fault information to system engineers to accelerate troubleshooting.
- Define remediation workflows and insights for hardware fault scenarios across nodes and clusters.
- Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack.
Candidate Profile
Essential
- Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related discipline.
- Strong software engineering experience in Python, C++, or C#.
- Experience developing diagnostics or monitoring systems for hardware platforms.
- Experience working with distributed systems or cloud infrastructure.
- Strong knowledge of Linux environments and system-level diagnostics tools.
- Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation.
- Strong analytical and debugging skills.
- Excellent communication and collaboration abilities.
Desirable
- Experience working with AI hardware platforms or accelerator-based computing systems.
- Familiarity with hyperscale data center infrastructure.
- Experience building cluster-level monitoring or diagnostics systems.
- Experience interacting with internal or external customers during diagnostics solution development.
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
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 Security Firmware Engineer
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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 an elite 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 diverse 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 an experienced Principal Security Firmware Engineer to design, implement, and validate security mechanisms within embedded firmware and low-level system software supporting Graphcore’s AI compute platforms.
This role focuses on protecting hardware platforms through secure firmware architecture, trusted boot mechanisms, and secure firmware update frameworks while working closely with hardware, firmware, and security architecture teams.
The Team
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.
The Firmware and Platform Security team is responsible for securing Graphcore’s AI infrastructure platforms across firmware and hardware interface layers.
The team collaborates with silicon engineering, hardware design teams, firmware developers, and security architects to implement trusted boot chains, secure firmware update mechanisms, and hardware-rooted security capabilities.
Responsibilities and Duties
- Design and implement secure firmware architectures for embedded and hardware systems.
- Develop secure boot, firmware authentication, hardware root of trust, and secure firmware update mechanisms.
- Define threat models and security requirements for firmware components.
- Develop and maintain secure embedded firmware using languages such as C, C++, and Rust.
- Integrate cryptographic libraries and hardware security modules (HSM/TPM).
- Implement protections against firmware tampering, side-channel attacks, fault injection, and reverse engineering.
- Perform firmware security assessments, code reviews, and vulnerability analysis.
- Conduct penetration testing, fuzz testing, and other security validation techniques.
- Collaborate with hardware teams to integrate chip-level security features.
- Ensure firmware implementations align with industry standards such as NIST, FIPS, and Secure Development Lifecycle practices.
Candidate Profile
Essential
- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related discipline.
- 5–10+ years of experience in embedded systems or firmware development.
- Strong programming experience in C and C++.
- Deep understanding of secure boot architectures and trusted boot chains.
- Strong knowledge of cryptographic protocols and secure firmware design practices.
- Experience working with embedded operating systems such as FreeRTOS, Zephyr, or Linux.
- Experience implementing secure firmware update systems and cryptographic key management.
Desirable
- Programming experience in Rust.
- Experience integrating TPM or hardware security modules (HSM).
- Experience with static analysis and security tools such as Coverity.
- Knowledge of secure silicon architectures and trusted execution environments.
- Experience contributing to open-source firmware security projects.
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 the Team
Our team is at the core of Avride's self-driving stack. We build the base infrastructure layer that powers all autopilot code. It includes C++ framework for implementing autonomy components, execution graph building and optimization systems, as well as runtimes that execute those graphs, both onboard and in simulation.
For the onboard runtime, we aim to achieve the best possible performance while operating under strict latency guarantees and reliability requirements.
For the simulation runtime, our focus is reproducibility and determinism, that’s critical for evaluating quality and safety of our technology.
Engineers on our team set the bar for code quality and reliability, and we share these standards with the rest of the development teams at Avride.
About the Role
We're looking for a Senior C++ Engineer to work full-time on critical components at the heart of our self-driving software stack. This role requires a thorough understanding of how the system performs and how all its moving parts fit together.
You'll work closely with autonomy and hardware teams across Avride to understand their needs and determine which features we should provide to unblock the most efficient and reliable solutions. You'll also communicate closely with QA and R&D operations teams to get quick feedback on actual issues and validate your ideas.
Although we move at a high pace, our product is not a place that favors quick fixes. Each design is expected to be solid and aligned with long-term goals. Analyzing the lasting consequences of every change is essential. Candidates are expected to be highly autonomous and capable of driving their ideas through every stage, from initial concept to production use.
What You'll Do
- You’ll be working on the implementation and design of Avride’s core framework - both developer APIs and runtimes - building and optimizing execution graph consisting of GPU and CPU computations, scheduling execution to guarantee latency and reliability
- Take long-term ownership of subsystems owned by the team, tracking their requirements and improving them over time.
- Building internal instrumentation and tools to keep the track on systems’s safety and performance.
- Participate in system performance evaluations and help with full-system debugging
- Design and automate of testing of the team’s components to make validation and issue-detection loops shorter
- Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity.
What You'll Need
- 5+ years of experience with C++
- 3+ years of programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts
- Experience with Linux and understanding of OS fundamentals
- Experience in diagnosing and resolving performance issues
- Proven experience of designing and shipping complex systems including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery.
- Strong cross-team collaboration skills - being ready to communicate with multiple teams to validate your ideas and manage testing and rollout out of your solutions
Nice to Have
- Python experience for scripting and non-time-critical tooling
- Background in autonomous vehicles, robotics, or other safety- or performance- critical systems.
- Experience implementing middleware systems - execution scheduling, inter-process/inter-host transport layer, issue detection
- Experience working with large and complex systems and codebases
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
Ready to apply?
Apply to Avride
Machine Learning for Physical Design Intern - CPU/AI Hardware
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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.
As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.
This role is on-site, hybrid, based out of Santa Clara, CA working 4 days in office, 1 day remote.
Who You Are
- Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS.
- Possessing deep knowledge of math, probability, statistics, and algorithms.
- Experienced in solving problems with Machine Learning models.
- Skilled in algorithms, data structures, and software development using Python and C/C++.
What We Need
- Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.
- Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.
- Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.
- Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.
What You Will Learn
- How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.
- Practical experience in extending existing ML systems and implementing cutting-edge algorithms.
- Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.
- Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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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CPU Core Performance Verification Intern - CPU/AI Hardware
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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 building high-performance RISC-V CPU cores at Tenstorrent. As a Performance Verification Intern, you will work alongside CPU architects, micro-architects, and performance engineers to ensure our designs meet real-world performance demands. This is a hands-on role that spans simulation, emulation, debug, and analysis.
This role is on-site, full-time (40 hours/week) in Santa Clara, CA or Austin, TX.
Who You Are
- Pursuing a BS, MS, or PhD in EE, ECE, CE, or CS with strong academic performance.
- Experienced with assembly, C/C++, and scripting in Python or Perl.
- Familiar with CPU architecture and performance concepts, including pipelines, memory systems, and branch prediction.
- Comfortable working through complex debug problems in a methodical, detail-oriented way.
What We Need
- Interns who can create performance test plans and write stimulus to stress real CPU scenarios.
- Engineers who can run simulations and emulations to validate performance metrics.
- Contributors who can bring up and debug workloads ranging from open-source benchmarks to industry-standard suites.
- Teammates who can investigate mismatches between RTL and performance models and help root-cause bottlenecks.
What You Will Learn
- How CPU performance is measured, validated, and optimized before silicon.
- How performance models, RTL implementations, and debug tools come together in a real chip development workflow.
- Techniques for balancing tradeoffs in microarchitecture to hit performance targets.
- What it takes to collaborate across architecture, design, and post-silicon teams in a high-performance CPU project.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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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Software Intern - AI Compilers
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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.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is hybrid based in Austin, TX
Responsibilities:
- Develop machine learning graph compiler
- Participate in the co-design of Tenstorrent's hardware and software stack
- Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
- Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
- Develop high-performance run-time engine
- Integrate the Tenstorrent software into leading machine learning frameworks
- Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
- Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Experience & Qualifications:
- Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
- Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
- Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
- Strong problem solving and analytical skills
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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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Data Movement Architecture Intern
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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.
Our team has built a high-performance RISC-V CPU from the ground up and is committed to building the best AI platform possible. We value collaboration, curiosity, and a passion for solving hard technical problems across software, compute, networking, and semiconductors.
As part of the Platform Architecture team, the Data Movement Architecture Intern will help shape the performance of our next-generation AI, CPU, and heterogeneous platforms. You’ll work closely with architects and software engineers to design, model, and analyze how data movement subsystems impact system behavior and application-level performance.
This role is remote, based out of Austin, TX, Santa Clara, CA or Fort Collins, CO.
Who You Are
- A highly motivated student who enjoys deep technical exploration and performance analysis.
- Curious about how data moves across compute, memory, and networking in complex AI/CPU systems.
- Comfortable interpreting simulation data and evaluating architecture tradeoffs.
- A strong communicator who collaborates well across multidisciplinary teams.
What We Need
- Pursuing an MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Solid understanding of computer architecture topics such as interconnects, memory hierarchies, and caching.
- Proficiency in C/C++ and scripting languages like Python or Shell.
- Experience with RTL design and simulation.
What You Will Learn
- Designing and optimizing data movement subsystems including CPU controllers, DMA engines, and accelerators.
- Conducting performance exploration for CPU controller features and system-level data movement.
- Performing PPA analysis and developing reduced data movement kernels for modeling and emulation.
- Working with software, RTL, and architecture teams to understand real-world AI/CPU workloads.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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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Design Verification Software Intern
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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 entails design and development of scalable infrastructure and software for the verification of high performance CPUs going into industry leading AI/ML architecture. The successful candidate will be responsible for development and automation of many aspects of the verification environment. The person coming into this role will have opportunities such as: writing low-level RISC-V assembly, building complex low-latency multithreaded testbenches, database programming, software testing and release automation, verilog coding and optimization of CPU components, and contributing to open source projects in the RISC-V ecosystem.
This role is on site, based out of Santa Clara, CA or Austin, TX.
This is for our Fall 2026 Semester
Responsibilities:
- Build software and scripts for high performance simulation and emulation of CPUs
- Improve verilog for optimal simulation performance and fpga emulation synthesis
- Maintain and enhance the Git infrastructure to support CI/CD, nightly regressions across multiple development platforms
- Build software tools and scripts for design flow automation
Experience & Qualifications:
- Currently working towards a Bachelors program
- Strong programming skills. C++, Python, SystemVerilog preferred.
- Solid experience with the Linux operating system
- Experience with version control. Git preferred.
- Interest in CPUs, hardware design, and/or programming
- Willing to learn and adapt
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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 University Jobs
Software Intern - AI Compilers
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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.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON
Responsibilities:
- Develop machine learning graph compiler
- Participate in the co-design of Tenstorrent's hardware and software stack
- Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
- Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
- Develop high-performance run-time engine
- Integrate the Tenstorrent software into leading machine learning frameworks
- Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
- Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Experience & Qualifications:
- Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
- Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
- Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
- Strong problem solving and analytical skills
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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 University Jobs
Machine Learning for Physical Design Intern - CPU/AI Hardware
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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.
As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.
This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.
Who You Are
- Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS.
- Possessing deep knowledge of math, probability, statistics, and algorithms.
- Experienced in solving problems with Machine Learning models.
- Skilled in algorithms, data structures, and software development using Python and C/C++.
What We Need
- Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.
- Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.
- Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.
- Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.
What You Will Learn
- How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.
- Practical experience in extending existing ML systems and implementing cutting-edge algorithms.
- Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.
- Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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 University Jobs
Design Verification Intern -RISCV CPU
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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.
In this role, you will learn Functional verification of high-performance CPUs going into industry leading AI/ML architecture. You will be mentored by and work alongside a group of highly experienced engineers across various domains of the AI chip.
This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.
This is for our Fall 2026 Semester
- Passionate about computer architecture and curious about how cutting-edge CPUs actually work.
- Enrolled in a BS, MS, or PhD program in EE, CE, CS, or a related field, with a strong academic record.
- Experienced with C++, SystemVerilog, or scripting languages through coursework or personal projects.
- Comfortable thinking at both the software and hardware level—including assembly and RTL.
What We Need
- Contribute to the functional verification of high-performance CPUs designed for general purpose and AI/ML applications.
- Help develop DV test plans and testbenches for both ISA and microarchitecture-level features.
- Debug RTL code and assist in making real design changes that impact chip development.
- Build tools and write stimulus code that can scale across pre-silicon to post-silicon environments.
What You Will Learn
- Get hands-on experience verifying state-of-the-art AI/ML hardware with guidance from experienced engineers.
- Explore how performance, RTL, and DV tools come together in a full-chip environment.
- Deepen your understanding of CPU design, ISA-level verification, and system-level debugging.
- Work in a real-world engineering team and gain exposure to industry-standard workflows and toolchains.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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 University Jobs
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
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
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
Staff Engineer, CPU Core Verification
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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.
At Tenstorrent, we build open, state of art compute for real workloads and real developers.
You will own CPU core‑level verification, shaping how our out‑of‑order RISC‑V CPUs behave in silicon.
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
- You bring 8+ years in CPU verification or closely related digital design.
- You know high‑performance out‑of‑order CPU microarchitecture in depth.
- You work comfortably with RTL, waveforms, logs, and complex debug scenarios.
- You communicate clearly across design, DV, emulation, and post‑silicon teams.
What We Need
- Plan and drive functional verification for CPU core features and microarchitectural scenarios.
- Develop UVM, assembly, and C/C++ stimulus for ISA and microarchitectural coverage.
- Develop/debug C++ functional models of RISC-V extensions and un-core components such as APIC and IOMMU.
- Debug simulation and emulation regressions using waveforms, logs, and RTL understanding.
- Build and refine coverage models to track and close architectural and microarchitectural coverage.
- Improve core, cluster, and chip‑level testbenches and debug infrastructure.
- Support design bring‑up across simulation, emulation, and post‑silicon environments.
- Collaborate with design, test, and validation to deliver robust CPU cores and clusters.
What You Will Learn
- How Tenstorrent designs and validates high‑performance RISC‑V CPU cores and clusters.
- Techniques for spanning pre‑silicon, emulation, and post‑silicon verification with shared stimulus.
- Ways to scale coverage, debug, and infrastructure across multiple CPU programs.
- How open hardware and software fit into Tenstorrent’s broader compute roadmap.
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
IP Software Generalist
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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.
We are seeking an IP Software Generalist to develop and optimize the software stack for our IP customers, enabling them to successfully integrate our AI and RISC-V hardware into their systems. In this role, you will build and support a versatile range of software components, from bare-metal firmware and drivers to system-level tools and APIs, ensuring a seamless customer experience. You will partner closely with hardware engineering, IP delivery, customer support, and product teams to deliver robust, scalable, and high-performance software solutions tailored to diverse customer architectures. Success in this role requires adaptability, strong system-level debugging skills, and the ability to bridge the gap between complex hardware IP and user-friendly software integration.
This role is hybrid, based out of Austin, TX; Toronto, ON; 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
- Experienced software engineer with a strong foundation in C/C++, system programming, and low-level software design.
- Background in firmware, device drivers, embedded systems, or hardware-software co-design.
- Skilled at navigating and troubleshooting complex, full-stack software environments.
- Known for working effectively with cross-functional teams and external customers to resolve integration challenges.
- Able to balance versatile, hands-on coding with high-level architectural problem-solving.
What We Need
- Develop, optimize, and maintain software components for Tenstorrent’s hardware IP offerings.
- Define and build reference software, SDKs, and toolchains to streamline the customer integration process.
- Diagnose and resolve complex hardware/software interaction issues during customer bring-up and deployment.
- Drive the creation of high-quality documentation, test suites, and integration guides for IP software deliverables.
- Partner cross-functionally with hardware and architecture teams to ensure future IP designs are optimized for software usability.
What You Will Learn
- How to build and deploy robust software stacks for cutting-edge AI and RISC-V silicon IP.
- How to drive successful hardware-software integration across a diverse range of customer environments and architectures.
- Firsthand exposure to the complete silicon IP lifecycle, from initial bring-up to massive-scale customer deployment.
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