About the Team

Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.

About the Role

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.

This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.

For California Only - The estimated annual salary for this position is between $195,000 - $303,000 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

• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

We’re Excited If You Have

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
• Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
• Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
• Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
• Experience in streaming, media, entertainment, or large-scale content platforms
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
• Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

#LI-SSC

About the Team

Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.

About the Role

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.

This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.

For New York Only - The estimated annual salary for this position is between $195,000 - $303,000 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

• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

We’re Excited If You Have

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
• Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
• Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
• Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
• Experience in streaming, media, entertainment, or large-scale content platforms
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
• Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

#LI-SSC

About the Team

Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.

About the Role

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.

This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.

For California Only - The estimated annual salary for this position is between $195,000 - $303,000 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

• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

We’re Excited If You Have

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
• Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
• Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
• Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
• Experience in streaming, media, entertainment, or large-scale content platforms
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
• Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

#LI-SSC

About the Role

We are seeking a highly technical, strategic Senior Engineering Manager to lead our Core Content Platform team. In this role, you will define the technical vision and drive the execution of a highly scalable, cloud-agnostic data abstraction layer. You will lead a distributed organization of senior engineers to transition legacy services into a unified, next-generation data platform that natively integrates machine learning and AI capabilities. This is a high-impact leadership position requiring a deep background in distributed systems, real-time data pipelines, and organizational scaling.

For California Only - The estimated annual salary for this position is between $328,500 - $451,600 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

• Technical Vision & Strategy: Drive the architectural roadmap for the platform, ensuring the team builds scalable, highly available, and cloud-agnostic data systems
• Engineering Execution: Oversee the design and deployment of real-time streaming pipelines and distributed data architecture (utilizing tools like Scala 3, Apache Flink, and distributed SQL databases such as CockroachDB)
• Team Leadership: Manage, mentor, and scale a high-performing engineering organization, fostering a culture of technical excellence across US-based and global teams
• Operational Excellence: Own the reliability, performance, and technical debt management of the data platform, ensuring high uptime and seamless delivery to internal and external partners

We're Excited If You Have

• 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms
• 7+ years of direct engineering management experience, with a proven track record of recruiting, leading, and retaining senior-level talent and managing distributed teams
• Deep expertise in building real-time data pipelines and large-scale data infrastructure
• Strong proficiency in modern backend and data engineering languages/frameworks (e.g., Scala, Java, Python) and streaming technologies
• Demonstrated ability to drive large-scale architectural migrations and manage complex technical debt.ML/AI Experience: Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services
• Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
• Domain experience in digital media, content platforms, or large-scale consumer applications.

#LI-SSC

About the role 

Roku is seeking a Technology Audit Manager to join its Finance & IT Compliance team. This role will lead and evolve Roku’s technology SOX compliance program, partnering closely with Engineering, Security, Product, and Finance teams to ensure scalable, high-quality controls across a rapidly growing and complex engineering environment. 

You will operate at the intersection of audit, technology, and automation, overseeing internal controls across enterprise systems, cloud infrastructure, data platforms, and cybersecurity. You will also drive controls-by-design for system implementations and business process transformations A key priority for this role is modernizing the IT SOX program through AI-powered automation and continuous auditing to improve precision, coverage, and efficiency. 

This is a high-impact, hands-on role for a proactive and driven professional who excels in fast-paced environments, collaborates effectively across teams, and brings the vision and execution focus to scale and modernize the compliance function alongside company growth. The ideal candidate brings strong experience in IT SOX and technology audits, along with a builder mindset, the ability to navigate ambiguity, and a track record of influencing cross-functional stakeholders. You should be equally comfortable diving into control details, partnering with engineering teams on system design, and driving strategic initiatives that enhance the overall control environment. 

For California Only - The estimated annual salary for this position is between $170,000 and 187,000 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 

• Lead and oversee the company’s technology SOX compliance program, evaluating the design and operating effectiveness of IT general controls, automated controls, and key reports supporting financial reporting 
• Maintain a deep understanding of the organization’s end-to-end technology ecosystem and its impact on financial reporting, staying current on system changes, policies, regulatory guidance, and industry best practices 
• Own audit oversight for system implementations, technology transformations, and process automation initiatives, partnering cross-functionally to ensure controls-by-design, strong SDLC governance, and scalable SOX-readiness from pre-go-live through post-implementation 
• Lead cloud infrastructure audits across AWS and GCP environments, assessing controls over access management, network security, encryption, logging and monitoring, configuration management, and data residency; evaluate cloud-native security tools and drive control maturity 
• Drive AI-powered automation of internal controls testing by integrating with IAM platforms (e.g., Okta, AWS IAM) and GitLab to continuously monitor access risks, code changes, and CI/CD controls; leverage AI/ML and automation to detect anomalies and generate audit-ready evidence that enables continuous auditing and improves precision, coverage, and efficiency 
• Establish and maintain an AI controls automation governance framework, including model validation standards, quality thresholds, and human-in-the-loop checkpoints to ensure accuracy, auditability, and regulatory defensibility 
• Assess control deficiencies, perform root cause analysis, and drive remediation efforts to closure, including validation and re-testing of corrective actions 
• Coordinate with co-sourcing partners, external auditors, and control owners to ensure cohesive execution; act as a trusted advisor by anticipating stakeholder needs and delivering actionable insights 
• Prepare and review audit workpapers, reports, ensuring compliance with professional standards and delivering clear, data-driven insights 

We’re excited if you have 

• 6–8+ years of relevant technology audit and IT SOX compliance experience, ideally combining Big 4 public accounting and in-house internal audit/SOX roles at a fast-paced public technology company 
• Bachelor’s degree in computer science, Information Systems, Finance, Accounting, or related field 
• Professional certifications such as CISA, CISSP, or CISM preferred; additional certifications (CPA, CIA, CFE) are a plus 
• Strong experience across technology audit domains, including IT general controls (ITGCs), automated controls (ITACs), cloud infrastructure, data engineering, DevOps processes, cybersecurity, system implementations, and business process automation 
• Hands-on experience designing and evaluating IT general and security controls in cloud environments (AWS, GCP); cloud certifications are highly desirable  
• Experience auditing or supporting enterprise platforms (e.g., NetSuite, Salesforce, Workday) and modern engineering environments (e.g., GitHub, CI/CD pipelines) 
• Solid understanding of SOX and broader compliance frameworks (SOC 1/2, GDPR, PCI-DSS) and security/governance standards (ISO 27001, COBIT, NIST) 
• Experience operating in high-growth, fast-paced environments, with the ability to scale processes and controls alongside business expansion 
• Strong leadership, communication, and project management skills, with the ability to collaborate effectively across technical and business teams 
• Self-driven and proactive, with the ability to manage multiple priorities and deliver high-quality results with minimal supervision 

Extra Credit 

• Master's degree in finance, accounting, computer science, IT, or related field  
• Strong understanding of finance and business processes, including quote-to-cash, revenue recognition, procure-to-pay, HR operations, and payroll 
• Hands-on experience with automation, AI, and analytics tools to drive audit efficiency and insights. Familiarity with GRC tools like Auditboard is a plus 
• Experience with identity and access management (IAM) and governance tools (e.g., Okta, SailPoint, CyberArk), including user access reviews (UAR), role design, and segregation of duties (SoD) analysis 
• Proven ability to quickly learn and adapt to evolving emerging technologies, including AI, cloud, payments, data platforms, and modern engineering environments, within the media & entertainment industry 

#LI-RR1 

About the Team

The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.

About the Role

We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.

For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
    

What You'll Be Doing

• Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
• Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
• Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
• Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
• Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
  
  

We’re Excited If You Have

• 5+ years of experience building software solutions to concrete problems
• Strong CS fundamentals. Should be able to write an algorithm with ease
• You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
• We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
• Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
• AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
• MS in Computer Science or related field

#LI-SSC

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.

About the role

We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.

For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 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

• Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
• Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
• Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
• Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
• Remain significantly hands-on with critical features and architectural components
• Drive technical planning, prioritization, and execution aligned with business objectives
• Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
• Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
• Lead efforts in monitoring, observability, performance optimization, and production reliability at scale

We're excited if you have

• 10+ years of software engineering experience with significant time in technical leadership roles
• Proven expertise in building scalable, distributed, and streaming solutions in production environments
• Deep experience with content management systems, media processing, or publishing platforms
• Expert-level proficiency in Java or Scala required; Python experience is a strong plus
• Strong expertise in distributed systems architecture, microservices, and event-driven architectures
• Deep understanding of streaming technologies (Kafka, Redpanda, or similar
• Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
• Track record of leading complex technical projects from conception to production in high-scale environments
• Excellent communication skills and ability to influence technical decisions across teams and organizations
• Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
• Extensive experience with containerization and orchestration (Docker, Kubernetes
• Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems

#LI-SB-5

What you’ll do

As the Senior Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers. 

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle. 
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation 
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements. 
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.  
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.  
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems 
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes. 
• Assist in calibrating and developing the software engineering team. 
• Recruit and manage a team of software engineers, setting the bar for quality software development. 

Location & Travel Expectations:

• This role will be based out of a Scout Motors location in Fremont, CA.
• The responsibilities of this role require attendance in the office with in-person meetings and events regularly.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.  
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development. 
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems. 
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing CI/CD pipelines supporting both web and mobile releases.   
• Knowledge of potential system vulnerabilities and how to prevent them. 
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications. 
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions 
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind  
• Experience integrating with 3rd party platforms and partnering with external service providers.  
• 4+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.  

Preferred:

• Experience building data pipes, AI/ML and web/mobile analytics. 
• Experience building systems in auto industry 
• Full-stack development  

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

CA initial base salary range= $198,000 - $242,000

Internal leveling code: IC7

About the team

Roku pioneered in developing operating system for TVs. Tv Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality , Picture Quality and Enable innovation technology. 
With tens of million TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial.

About the role

We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology. Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks. You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide.

For California Only - The estimated annual salary for this position is between $135,000 - $185,000 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

• Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV
• Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines
• Research, understand, and implement technical papers on ML/DL to solve complex challenges
• Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions
• Run experiments and analyze results against critical business KPIs

We’re Excited If You Have

• 1+ years of experience applying Machine Learning to concrete problems at scale
• Strong CS fundamentals; ability to write efficient algorithms with ease
• Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch
• Proficiency in coding firmware development using C++
• Proficiency in coding ML/DL algorithms using Python
• Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models
• Familiarity with video processing pipelines and audio pipelines
• AI literacy and curiosity—whether through previous work or personal exploration
• Excellent communication skills, strong work ethic, and works with minimum supervision 
• Have hands-on experience with edge devices like jetson nano, kadas, and similar
• Research background preferred; ability to understand and implement technical papers on ML/DL
• Published papers in the field of ML/DL are a bonus
• Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred

#LI-DH2

About the team

Join the Home Screen team — the engineers behind Roku's home screen and the experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.

We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through BrightScript/SceneGraph UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.

About the role

We are looking for a Senior Software Engineer to take deep ownership of the OS UI platform that powers the Roku home screen and Browse Surfaces. You will drive architecture and delivery across the OS client stack: SceneGraph component framework, performance and memory optimization, and the user-facing experiences built on top of it.

For California Only - The estimated annual base salary for this position is between $370,000 - $400,000 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

• Architect and implement features across the Roku home screen & Browse Surfaces, through SceneGraph UI to cloud-backed content experiences
• Drive performance, memory efficiency, and reliability of the home screen on constrained embedded hardware
• Own features end-to-end: design, implementation, testing, and production rollout to hundreds of millions of devices
• Collaborate with UI/UX design, product management, and cloud engineering teams to define and deliver new user experiences, including AI-driven features
• Mentor engineers, establish technical standards, and evangelize best practices across the team
• Investigate and resolve complex platform issues affecting millions of users

We're excited if you have

• 7+ years of software engineering experience, with significant time in embedded or consumer electronics environments
• Deep proficiency in C++ and/or BrightScript/SceneGraph/TypeScript (or equivalent TV platform SDK experience)
• Proven track record in architecting and shipping features on constrained embedded platforms (memory, CPU, GPU)
• Strong understanding of multi-threaded development, concurrency, and real-time programming
• Experience building and shipping UI experiences on embedded or consumer electronics platforms
• Knowledge of Linux operating systems and system-level debugging
• Experience with API design and cross-team integration
• Familiarity with AI/ML and LLM technologies, with interest in applying them to content and UI experiences
• Strong communication skills — this role involves frequent collaboration across engineering, product, and design
• B.S. or M.S. in Computer Science or equivalent engineering experience

#LI-SG1

About the role

As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.

Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.

For California Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
• Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
• Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
• Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
• Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
• Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
• Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
• Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
• Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
• Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
• Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
• Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.

We're excited if you have

• 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
• Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
• Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
• Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
• Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
• Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
• Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
• Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
• Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
• Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.

#LI-SR2

About the role

As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.

Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.

For California Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
• Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
• Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
• Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
• Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
• Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
• Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
• Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
• Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
• Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
• Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
• Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.

We're excited if you have

• 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
• Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
• Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
• Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
• Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
• Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
• Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
• Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
• Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
• Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.

#LI-SR2

About the Team

The Consumer Apps team is responsible for Roku’s core user-facing applications across streaming and utility experiences, including The Roku Channel and the Roku Mobile App. We deliver The Roku Channel across Roku devices and off-platform environments (including web and third-party connected TV platforms), and we build mobile experiences that help customers discover, stream, and engage with the Roku ecosystem at scale. We partner closely with Engineering, UX, Content, Data, and Business teams to deliver cohesive, high-quality experiences that drive engagement and growth.

About the Role

As a Senior Product Manager, The Roku Channel – Roku OS, you will own the streaming-service experience for The Roku Channel on Roku’s flagship platform. This role is for a product leader who thinks like a streaming service operator - deeply customer-obsessed, fluent in discovery and engagement loops, and comfortable balancing viewer experience with content and monetization goals.
You’ll define and deliver experiences that help viewers find something great to watch quickly, keep them coming back, and showcase Roku’s evolving content catalog. You’ll partner closely with Design, Engineering, and Data/Analytics to ship and iterate, collaborate with a Recommendations/Personalization PM to balance merchandising and ML thoughtfully, and work hand-in-hand with Content Strategy/Programming to align product experiences with launches, tentpoles, and ongoing merchandising needs.

This position is based in San Jose, reporting to Director of Product, Consumer Apps.

For California Only - The estimated annual salary for this position is between $176,000 - $302,700 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

• Own The Roku Channel roadmap for Roku OS end-to-end: Define and deliver a multi-quarter vision across key streaming journeys including discovery, navigation, content details, and engagement loops
• Champion streaming-service craftsmanship: Identify friction and opportunities across time-to-content, selection rate, and repeat engagement - balancing viewer delight with business goals
• Prioritize with impact: Draw hard lines on priorities informed by viewer insights, content strategy, company goals, and data - ensuring we ship high-ROI experiences
• Be intensely data-driven: Define KPIs and success criteria; form hypotheses and run experiments that drive measurable lifts in engagement, retention, and monetization
• Partner deeply with UX: Design intuitive, high-performing experiences that balance usability, editorial storytelling, and personalization
• Lead execution with Engineering: Translate strategy into crisp PRDs, align scope and milestones, and deliver high-quality features on predictable timelines
• Operationalize programming and merchandising: Work with Content Strategy/Programming to translate launches, tentpoles, and seasonal moments into scalable merchandising patterns (collections, campaigns, modules, messaging)
• Collaborate with Recommendations/Personalization: Integrate ML-powered discovery thoughtfully balancing editorial intent, personalization, and experimentation to improve satisfaction and engagement
• Partner with the Search team: Ensure Roku Channel content is discoverable and represented effectively across search entry points and results experiences
• Monitor and optimize performance: Track dashboards, cohorts, and content-level insights; iterate post-launch to drive sustained KPI improvements, not just feature delivery
• Communicate with clarity: Align stakeholders across Product, Design, Engineering, Data, and Content; surface tradeoffs and decisions with crisp, executive-ready narratives

 
We’re Excited If You Have

• 8+ years of product management experience with increasing scope and cross-functional impact
• Strong streaming services background (AVOD/SVOD/FAST) - experience owning customer journeys and business outcomes for a streaming app or service
• Demonstrated success driving engagement and retention through discovery improvements, merchandising strategy, and personalization-informed experiences
• Experience partnering closely with Content/Programming teams and translating content goals into scalable product experiences
• Proven collaboration with ML/recommendations teams and comfort balancing editorial curation with personalization and experimentation
• Strong analytical skills: defining KPIs, building measurement plans, and using data to guide prioritization and iteration (funnels, cohorts, content-level performance, experiments)
• Excellent product judgment and UX sensibility for content-rich UIs (home, navigation, rails, content details)
• Technical fluency: comfortable working with APIs, data pipelines, experimentation frameworks, and client performance considerations
• Exceptional communication and stakeholder leadership skills; ability to influence decisions across Product, Design, Engineering, Data, Search, and Content teams
• Bachelor’s degree required, technical degree a plus
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

#LI-SSC

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media around the world, continued success depends on experienced embedded software engineers like you joining the Roku OS Streaming Media team.

In this role, you will be part of the team that's responsible for Roku’s Media engine, implementing new features and designing algorithms that deliver flawless video playback to all our users. This includes optimizing network interactions between our players and CDN, implementing adaptive streaming stacks, integrating DRM systems, and developing tools to monitor performance.  

The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional with innovative ideas for complex problems and the ability to translate them into ultra-reliable software. 

For California Only - The estimated annual salary for this position is between $197,900 - $270,000 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

• Extend Roku's player feature set to support new business opportunities and the latest multimedia specifications
• Continuously improve playback on Roku devices, and deliver our users a world-class player experience under all operating conditions
• Work independently and in small groups to deliver new features and functionality on-time
• Demonstrate excellence in C++ & Python development and deliver high-performance, ultra-reliable software
• Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and easy to maintain
• Demonstrate the ability to dig deep to find solutions to tough problems affecting our users 

We're excited if you have

• 2 – 5 years of relevant software development experience
• Bachelor’s or master’s in computer science or equivalent engineering experience.
• Extensive programming experience with C++ and Python
• Proven track record of success with embedded system development projects and Linux operating systems.
• Deep understanding of multi-threaded development and concurrency management.
• Experience in API design and developing portable code.
• Been able to accurately estimate software tasks and work to schedule.
• Architected, implemented, and tested systems for performance & low resource consumption.
• A good understanding of open source development
• A familiarity with AI/ML and LLM technologies.
• Experience with other consumer electronics OS’es (e.g. Android, FreeRTOS)
• Knowledge of TCP/IP, TLS, HTTP, DRM technologies like PlayReady, Widevine and streaming protocols such as WebRTC, HLS, and/or DASH is important.
• Experience working with video (H.264, H.265, AV1) & audio (aac, ac3) codecs. 

#LI-SR2

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

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We’re looking for a Backend Software Engineer to design and build the core systems that power Thatch. This includes data models, fund flows, automations, and integrations that make healthcare benefits work reliably at scale. Your work ensures money moves correctly, benefits remain compliant, and complex processes work reliably. This work touches real money and real healthcare decisions. The systems you build must be correct, resilient, and built to scale.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

About the role

At Thatch, weʼre on a mission to build a healthcare system people love. Thatch has found early product-market fit and is scaling rapidly. With strong traction through brokers and payroll partners, the company is now ready to build a modern, unified marketing engine to expand its reach, elevate its brand, and accelerate direct demand.

As our Head of Marketing, youʼll be the steward of our marketing vision and execution. Youʼll lead a growing team of exceptional demand generation experts, brand, content, and product marketing managers. Youʼll partner closely with product and engineering, design, and GTM, and will work directly with the CEO to market a platform that serves employers, employees, brokers, and partners. 

We believe great products start with care: care for the user, care for the craft, and care for the systems we're building. You'll bring taste, product intuition, and high standards to everything you touch - while helping the entire team do the same. This role is highly cross-functional and strategic, and weʼre looking for someone who thrives in ambiguity, translates complexity into clarity, and pushes the work - and everyone around them - to be better.

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Team

Every vehicle that drives itself on a public road starts with a decision someone made about a single annotation. At Nuro, we take that seriously — and we're looking for someone who does too.

ML Operations is where data becomes decisions. We sit at the intersection of Autonomy Engineering and the globally distributed annotation teams who label the world our vehicles need to understand. We are builders, diagnosticians, and systems thinkers who care deeply about the end product - because we know that what we fix here shows up on the road. 

This team is collaborative and technically rigorous. We work closely with engineering and we hold each other to a high standard, but we also invest in getting things right together. Here is what the work actually looks like day-to-day: 

• Investigate annotation faults by querying databases directly to identify root causes, moving beyond reliance on ticket queues for initial troubleshooting.
• Sitting with Autonomy Engineering leadership, translating a model accuracy regression into a specific labeling workflow problem and walking in with the fix already scoped.
• Auditing a live pipeline, spotting a systematic edge-case misclassification that has been silently propagating, and building the evidence-based case to restructure how that object type gets labeled.
• Manage the processes for quality management/processes for the offshore annotation team
• Being the bridge: the person ML Operations leans on for quality diagnostics, and the person Engineering trusts to understand how a labeling decision upstream shapes what the model learns downstream.

If that sounds like the kind of problem-solving that lights you up, we would love to talk.

About the Role

This is a rare opportunity to own something that genuinely matters. You will co-own a portfolio of active labeling pipelines alongside senior leadership with real authority to set the quality standard, measure against it, and close the gaps. Not to report on pipelines. To make them better.

The work connects directly to Nuro's mission. A single systematic flaw in annotation can propagate silently through training and surface as a safety regression on the road. You are the person who finds it before that happens and who builds the systems that prevent it from happening again. That kind of upstream impact is hard to find in most roles. Here, it's the whole job.

You'll be well-supported: partnering closely with senior engineering and operations leadership, with the access and visibility to do your best work. What we ask in return is curiosity, rigor, and genuine care about getting it right.

About the Work

You will own the quality diagnostic layer across our labeling pipelines: defining the standard, building the instrumentation, and closing the gaps that matter most to model safety and performance.

Own the Quality Standard

• Define what 'good' looks like for each data type across active labeling pipelines and instrument pipelines to measure against it continuously, not just at delivery milestones.
• Build inter-annotator agreement frameworks, taxonomy governance, and sampling methodologies that hold up at offshore production scale.
• Design scalable processes to reduce systematic errors and support evolving ML training requirements.

Diagnose and Close Gaps

• Audit live workflows, query production databases, and trace accuracy failures to their structural root cause then return with an evidence-based plan that fixes the mechanism, not just the symptom.
• Apply statistical process control thinking to distinguish a labeling error from a labeling system error, and drive the changes that address it.

Bridge Engineering and Machine Learning Operations

• Connect ML labeling quality metrics directly to model performance and safety outcomes in close partnership with Autonomy Engineering leadership.
• Build executive-ready reporting that frames quality gaps as safety and business signals — not operational updates.
• Drive alignment across engineering, product, and global ops with clear analysis and well-reasoned recommendations.

About You

We are not looking for someone who has done everything. We are looking for someone who cares about the right things: data quality as a craft, systems thinking as a default, and mission as a motivator. If you are energized by finding what is broken and building what fixes it and you want that work to mean something this role was written for you.

What You Bring

• 5+ years embedded with ML, data operations, or software engineering teams close to the work, not managing from a distance.
• SQL fluency: you can investigate a labeling anomaly yourself, form a hypothesis, and test it without waiting on a data engineer.
• Deep experience with ML data pipelines and labeling ecosystems annotation workflows, quality sampling, taxonomy design, and inter-annotator agreement.
• A systems-level mindset: you identify where quality breaks down structurally and design the mechanism that fixes it, not just the process that patches it.
• Clear, confident communication: you can translate a nuanced data quality finding into a precise safety or business risk that senior leadership can act on.
• Experience managing large-scale offshore or globally distributed annotation teams.

Bonus Points

• Background in autonomous vehicles, robotics, computer vision, or ML model training.
• Prior experience in ML engineering, data engineering, or technical consulting.
• A demonstrated track record of improving training data quality at scale, with metrics to show for it.
• Bachelor's degree in a technical or business discipline, or equivalent practical experience.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $120,270 and $180,410 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Purpose

As a Proposal Manager, you will sit at the center of Divergent’s most critical growth efforts and own the development and execution of complex, high-value proposals from initial strategy through final submission. You will serve as the connective tissue across program management, business development, engineering, legal, finance, and executive teams, ensuring all contributors are aligned while juggling multiple proposal responses and ensuring they stay on track for successful delivery. 

You will drive response strategy, shaping how Divergent’s capabilities are positioned against customer requirements and competitive dynamics. This includes highlighting strengths, identifying risks, and working directly with technical subject matter experts to refine solutions and mitigate gaps. You will own proposal planning, generation, execution, and submission end-to-end, including compliance, review cycles, pricing alignment, and final submission. 

This role requires exceptional project management and attention to detail, as well as creativity, critical thinking, and bias towards action.  

The Role

• Own end-to-end proposal responses, serving as primary author and integrator of cross-functional inputs
• Develop response structure and compliance, ensuring adherence to solicitation instructions and all applicable federal, prime, and regulatory requirements
• Translate complex technical inputs into clear, compelling narratives that highlight Divergent’s differentiated capabilities and align to evaluation criteria, while maintaining consistency across volumes
• Drive response strategy in partnership with business development teams, including win themes, differentiators, and competitive positioning
• Partner with business development, program management, and executives to drive pricing strategy and price-to-win alignment, increasing proposal competitiveness and PWIN.
• Coordinate and manage complex, cross-functional review cycles, ensuring actionable feedback is incorporated effectively and on schedule
• Track customer priorities and competitive dynamics to continuously refine bids and positioning
• Support drafting a range of informational and marketing materials, such as white papers, pitch decks, and more.

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls 
• 5+ years of experience in proposal management or similar writing- and project management–intensive roles, with a strong track record of delivering high-quality, technically complex, deadline-driven work
• Able to bring structure to ambiguous, fast-moving environments
• Bias towards action and proven ability to manage complex, cross-functional efforts with multiple stakeholders under tight deadlines while maintaining high standards for quality and compliance
• Exceptional writing and communication skills, with the ability to synthesize technical, legal, and business inputs into clear, persuasive narratives
• Highly organized, detail-oriented, and capable of managing multiple concurrent proposals at different stages
• U.S. citizen eligible and willing to obtain a Secret or Top Secret security clearance

Preferred Qualifications

• Experience operating in fast-paced, innovation-driven environments such as software, advanced manufacturing, or similar
• Familiarity with standard bid and proposal processes, with the judgment to adapt them for speed and agility in non-traditional contracting environments
• Demonstrated experience managing large, complex proposals (e.g., multi-volume RFPs, IDIQs, or strategic captures) end-to-end and winning major contracts
• Strong understanding of federal acquisition processes, procurement cycles, and government contracting frameworks
• Experience supporting pricing strategy, including collaboration on cost volumes and price-to-win

Work Environment

• This position will be based either in Washington DC (remote) or hybrid/onsite in our Torrance, CA office

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S06 as evaluated through our interview process. 

• S05/Senior level: $115,670 - $159,050
• S06/Lead level: $133,580 - $183,680

We're looking for a Senior Manager, Product Lead to lead, grow, and empower a team of product managers building for our AI-powered litigation platform. This role sits at the intersection of product strategy and people leadership and is a great fit for a product leader who cares deeply about craft, is comfortable with technical ambiguity, and has a track record of shipping exceptional enterprise AI products. 

This role will be focused on Everlaw’s Core Discovery product category, which enables legal professionals to quickly understand and act on data at scale with AI-assisted workflows built on principled design, rigorous controls, and deep workflow expertise. In this role, you will act as the voice of the customer within the organization, ensuring products meet customer needs and expectations, and will engage directly with customers and industry stakeholders to gather insights and validate product concepts.

At Everlaw, our mission is to promote justice by illuminating truth. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! 

We do not believe in the ‘perfect’ candidate. If you’re passionate about the role and feel you can contribute meaningfully, we encourage you to apply. This is a full-time position based in our Oakland, California office, with a hybrid schedule: in-office Monday, Wednesday, and Thursday.

How we're different

• Built for the AI Era: Everlaw has been committed to AI-assisted workflows for over a decade with tools like predictive coding and document clustering. We’ve continued this leadership into the generative AI era, with best-in-class features like Deep Dive and Coding Suggestions. We don’t layer AI onto our product - we architect intelligent, trustworthy systems grounded in enduring trust that deliver value to users every day. 
• Culture and Growth at the Forefront: With a generous L&D budget, clearly codified values, and a commitment to long-term thinking, integrity and discipline, we create an environment where careers grow with intention and purpose.
• Thoughtful Onboarding: Our structured onboarding program ensures you understand our product, customers, and market and quickly integrates you into the team, setting you up to contribute thoughtfully from day one. 
• Impact That Matters: Through Everlaw for Good, we offer our technology free or at heavily discounted rates to journalists, nonprofits, and pro bono attorneys to advance equitable access to justice beyond the boundaries of business.

In your role, you'll...

• Lead Product Strategy, Vision & Execution: Work with your team to define and own a multi-year strategy and roadmap aligned with company priorities and customer needs. 
• Build a First-Class AI Product Experience: Guide PMs in ensuring our AI feature set is best in class for the dynamically evolving legal AI space. You’ll develop a deep understanding of the market, competitive landscape, and user behavior to inform prioritization decisions. 
• Develop Product Talent: Lead and elevate a team of 3–6 product managers, fostering a culture of sharp analytical thinking and product excellence. Drive their success through clear feedback, mentorship and bespoke growth plans, while employing a consistent strategy for long-term career development.
• Elevate Product Craft: Model disciplined, critical use of AI across the full product development lifecycle, and develop AI-augmented ways of working with clear norms around when and how to soundly incorporate AI-generated output into the final work product. 
• Scale and Drive Team Accountability: Grow the team through intentional hiring and operational refinement, while setting clear expectations and upholding our values and behavioral standards. Drive high performance and accountability, connecting work to the company vision and ensuring every PM is empowered to deliver measurable impact. 
• Drive Cross-Functional Excellence: Partner with the design team to ensure user experience is a first-class citizen. Shepherd product development and enable go-to-market teams so they're armed to tell the right story and support customers with confidence. Identify R&D-wide process gaps and lead execution of improvements.
• Model People Leadership: Lead, motivate and influence others across your team and the business. You’ll serve as a senior PM stakeholder in leadership forums, business reviews, and executive presentations. You will drive cross-functional collaboration, and foster an inclusive environment where diverse perspectives are valued.

About you

Required Experience 

• 7+ years of product management experience 
• 3+ years managing teams of product managers
• Proven track record of defining product strategy and connecting it to measurable business outcomes
• Strong analytical skills and the ability to leverage data to uncover underlying business drivers and translate raw insights into strategic, timely product decisions
• Experience shipping products at scale in a fast-paced environment for sophisticated users and complex workflows (enterprise, B2B SaaS, data-heavy, or regulated domains)
• Experience building or managing ML or LLM-powered products, with a nuanced view of where AI genuinely compounds value for customers 
• Excellent people and project management skills; process-driven with the ability to communicate complex concepts and drive teams toward a shared vision
• A strategic leader with a deep obsession for product craft and detail 

Work Authorization

• You are authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas for this role.

Total Rewards

• The expected salary range for this role is between $217,000 - 275,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Participation in our equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision insurance
• HSAs and FSAs for various expenses
• Company-sponsored life and disability insurance
• Paid parental leave and sick leave
• 17 paid vacation days plus 11 federal holidays
• Access to mental health and wellness resources like membership to Modern Health
• A generous L&D stipend for your personal growth
• Find out more about our Benefits and Perks

Perks

• A beautiful office in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
• Flexible work-from-home days on Tuesdays and Fridays
• Monthly home internet reimbursement
• Ability to select your hardware of choice (Mac or PC) and customize your desk setup
• A wide variety of snacks and beverages in the office
• Company-wide out-of-the-box events and fun activities with your team
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Learning and career development opportunities (and a generous budget!)
• #LI-KP1
• #LI-Hybrid

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As Senior Technical Recruiter at Faraday Future, you’ll be working with some of the industry’s brightest minds to ensure we hire the best talent for our AI-Robotics team. A successful candidate in this role is someone who is scrappy, isn’t afraid of ambiguity, is able to multi-task and can work effectively within a team both as a leader and as an individual contributor. Recruiting at Faraday Future is a team effort, and your success is paramount to our team’s success. You will be expected to be very hands-on be a proactive sourcer and planner. You will help train hiring managers in the best practices of the latest hiring techniques and manage an entire full lifecycle of the talent acquisition process to ensure that we have a steady source of talent. You will also guide them through complex immigration processes and ensure a smooth onboarding experience. Your work will directly influence our ability to scale globally, diversify our workforce, and maintain compliance with evolving employment laws. This position is 100% onsite. 

Responsibilities:

Full-Cycle Technical Recruiting

• Manage end-to-end recruitment for technical roles, including AI/ML engineers, blockchain developers, backend/frontend engineers, data engineers, and platform roles.
• You will be expected to build strong relationships with our senior leadership and hiring managers to help guide them through your talent acquisition process
• You will be expected to assist hiring managers and organizational leaders in building strong and attractive job descriptions and help promote the positions online and through your network
• Partner closely with hiring managers to understand technical requirements, role scope, hiring priorities and define role requirements and create compelling job postings that attract the right talent.
• Conduct initial candidate screens to assess technical competencies, cultural fit, and motivation.
• You'll work very closely with candidates and hiring managers throughout the hiring process, managing expectations and building outstanding client relationships
• You are also expected to be knowledgeable of all applicable local, state, and federal employment laws to ensure our recruiting and hiring practices are compliant according to the best practices laid out by federal and state requirements
• Manage the full recruitment lifecycle—from initial outreach to offer negotiation—while ensuring a positive candidate experience.

Talent Sourcing and Pipeline Development

• Proactively source and build diverse, high-quality talent pipelines for current and future hiring needs.
• You will be responsible for creating and maintaining a robust talent pipeline with strong emphasis on the candidate’s experience throughout
• Utilizing proactive recruiting techniques, you will also be using social media sites as well as the use of other recruiting tools in order to be able to select qualified individuals who will provide added value to FF
• Engage passive candidates through targeted outreach and relationship-building.

Interview Coordination and Hiring Support

• Coordinate interviews and assessments, ensuring a smooth and efficient candidate experience.
• Gather and synthesize interview feedback to support hiring decisions.
• Assist with offer preparation, negotiation, and closing of candidates.
• You will also be facilitating all aspects of the interview process by building interview kits for each position where you will outline and define the questions being asked throughout the candidate selection process

Process Optimization and Collaboration

• Maintain accurate and up-to-date candidate data in the applicant tracking system (ATS).
• Identify opportunities to improve recruiting processes, candidate experience, and time-to-hire.
• Collaborate with the TA Lead, HRBP, and People Operations teams to align recruiting efforts with broader people strategies.
• Collaborate with legal and HR teams to coordinate immigration processes, including H-1B, O-1, TN, and green card sponsorships.
• Maintain up-to-date knowledge of U.S. immigration policies and employment law to ensure compliance.
• Support HR initiatives such as onboarding, employee engagement programs, and policy updates.
• Track and report recruiting metrics to continuously improve sourcing strategies and hiring efficiency.
• Participate in and plan networking, recruiting and hiring events 

Basic Qualifications:

• Bachelor’s degree or equivalent experience
• 5+ years of full cycle recruiting experience with both agency and in-house experience
• 3+ years of experience in technical recruiting, preferably in a fast-paced, high-growth environment.
• Demonstrated track record of excellence in sourcing and assessing technical talent and managing candidate pipelines while executing against a timeline
• Strong understanding of technical roles and skills, with the ability to assess candidate fit beyond the résumé.
• Skilled in offer negotiation, awareness of pertinent employment legislation and employment market trends
• Experienced in using Greenhouse ATS or similar.
• Familiarity with U.S. immigration processes and documentation, including visa sponsorship and compliance requirements.
• Excellent communication skills and the ability to build trust with candidates and stakeholders.
• A proactive, solutions-oriented mindset and the ability to thrive in ambiguity.
• Strong communication skills, organizational and negotiation skills
• Strong software experience using MS Office Suite
• Ability to operate in a fast-changing, ambiguous environment with minimal supervision.
• Passion for technology and curiosity about emerging trends in AI and decentralized systems.

Preferred Qualifications:

• Experience with diversity and inclusion sourcing strategy and hiring.
• Understanding software engineering, AI, or blockchain role requirements and hiring profiles.

Annual Salary Range:

($100,000.00 - $120,000.00 DOE), plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Purpose

We are seeking a highly motivated and adaptable Indirect Category Manager to support strategic sourcing and procurement activities across Divergent 3D and Czinger.

This role supports a broad range of indirect procurement categories including IT/software, HR, marketing, professional services, finance, legal, travel, facilities, construction, and other G&A related spend. Depending on business priorities and candidate experience, the individual may primarily support specific procurement categories and provide additional support where needed on all other indirect categories.

The ideal candidate thrives in a fast paced, high growth environment and is equally comfortable driving sourcing strategy, managing supplier relationships, supporting stakeholders through business requirements, and executing procurement activities from intake through supplier performance management.

This individual will play a key role in helping scale a modern procurement organization by independently leading sourcing initiatives, negotiating commercial agreements, optimizing supplier performance, and partnering cross functionally to support business growth and operational objectives.

Role

Strategic Sourcing & Procurement

• Lead sourcing and procurement activities across multiple indirect spend categories. Partner closely with stakeholders to define business requirements, scope sourcing projects, and support supplier selection decisions.
• Manage end-to-end sourcing initiatives including RFIs/RFPs/RFQs, supplier evaluations, negotiations, contract execution, and supplier onboarding.
• Negotiate pricing, commercial terms, SaaS agreements, statements of work (SOWs), master services agreements (MSAs), service agreements, and other supplier contracts in partnership with Legal and internal stakeholders.
• Drive cost savings, supplier optimization, risk mitigation, and long-term value creation initiatives.
• Support category planning, sourcing strategies, and supplier roadmaps aligned with business objectives and operational priorities.

Supplier & Stakeholder Partnership

• Build and maintain strong supplier relationships focused on quality, responsiveness, scalability, and overall business value.
• Monitor supplier performance, deliverables, and contractual obligations to ensure successful execution of awarded work.
• Serve as a trusted procurement business partner to stakeholders across IT, Engineering, HR, Finance, Facilities, Legal, and Operations.
• Collaborate cross-functionally to support budgeting, forecasting, operational planning, and procurement strategy.
• Help balance cost, quality, speed, scalability, and risk across sourcing decisions.

Procurement Operations & Process Improvement

• Support the continued development and scaling of procurement processes, systems, and best practices.
• Improve procurement efficiency, spend visibility, supplier governance, and reporting capabilities.
• Support implementation and optimization of procurement tools and ERP systems including Zip, Ramp, Navan/Perk, Oracle, Zluri, CLM tool, SAP, Ariba, etc.
• Operate with flexibility across multiple indirect procurement categories while supporting a collaborative and cross-trained team structure.

Basic Qualifications

• Ability to lawfully access information and technology subject to U.S. export controls.
• Bachelor’s degree in Supply Chain Management, Business Administration, Finance, Engineering, or related field.
• 7+ years of experience in indirect procurement, strategic sourcing, category management, or supply chain management.
•  Demonstrated ability to independently manage sourcing projects and supplier negotiations with minimal oversight.
•  Experience leading sourcing initiatives from requirements gathering through contract execution and supplier performance management.
• Strong experience negotiating pricing, commercial agreements, SaaS/software agreements, professional services agreements, SOWs, and MSAs.
• Strong stakeholder management, communication, negotiation, and analytical skills.
• Ability to operate effectively in fast-paced, ambiguous, and evolving environments.
• Experience supporting IT procurement, software procurement, facilities, construction, professional services, HR, marketing, or other indirect spend categories preferred.
• Experience working in high-growth technology, manufacturing, aerospace, automotive, or defense environments preferred.
• Working knowledge of procurement systems and ERP platforms.

Key Performance Metrics

• Achievement of cost savings and value creation targets
• Supplier performance and sourcing execution
• Procurement cycle time and process efficiency improvements
• Internal stakeholder satisfaction and partnership effectiveness
• Contract compliance and supplier risk management
• Operational support aligned with business priorities and timelines

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S07 as evaluated through our interview process. 

• SCH S05: $104,040 - $143,055
• SCH S06: $120,190 - $165,240
• SCH S07: $138,805 - 190,868

Purpose

The CNC Programmer (Turning & Grinding Focus) is a highly technical manufacturing role responsible for developing and executing advanced machining processes with a primary focus on horizontal turning mills, mill-turn platforms, and precision grinding operations, while supporting broader CNC machining activities as required. 

This role owns the full machining workflow including process development, fixture design, CNC programming, machine setup support, prove-out, inspection collaboration, and production optimization. The CNC Programmer partners closely with manufacturing engineering, design engineering, and shop operations teams to develop robust, repeatable, and scalable machining strategies for high-performance aerospace, automotive, defense, and energy components. 

Operating in a fast-paced hardware environment, this individual will lead the development of advanced machining solutions for complex rotational hardware and precision-critical components, supporting both prototype development and high-rate production. This role combines deep CAM expertise, strong shop-floor execution, and hands-on manufacturing problem solving.

The Role

Advanced CNC Programming & Machining 

• Develop and optimize CNC programs using CAM software (Siemens NX preferred) for:  

• Horizontal turning mills  

• Multi-axis mill-turn platforms  

• 5-axis grinding systems  

• Standard vertical and horizontal machining centers as needed  

• Program, verify, simulate, and support complex machining operations including:  

• Multi-axis turning  

• Simultaneous 5-axis machining  

• Cylindrical and profile grinding  

• Mill-turn operations  

• Support first article development through stable production release.  

• Create advanced machining strategies for tight-tolerance rotational components and complex geometries.  

• Develop dynamic work offset strategies, probing routines, and multi-operation setup methodologies. 

Process Development & Optimization 

• Analyze new components to determine machining approach, tooling strategy, workholding concepts, and process flow.  

• Design and refine robust machining processes to improve: Cycle time, Surface finish, Dimensional capability, Tool life, Repeatability  

• Develop grinding strategies for precision-critical surfaces, diameters, profiles, and datum structures.  

• Provide Design for Manufacturability (DFM) feedback to engineering teams during product development. 

Fixture Design & Manufacturing Support 

• Design and develop machining fixtures, grinding workholding, soft jaws, and support tooling using CAD (NX preferred).  

• Support fabrication, prove-out, and validation of fixtures and setup concepts.  

• Collaborate with machinists and operators during setup, prove-out, and production troubleshooting.  

• Provide direct shop-floor support during first article builds and process launches. 

Inspection & Quality 

• Interpret engineering drawings and apply GD&T principles to machining and inspection strategies.  

• Collaborate with metrology and quality teams to validate inspection approaches for complex machined hardware.  

• Utilize metrology equipment and inspection feedback to refine machining processes and improve capability.  

• Support root cause investigations and corrective actions for machining-related non-conformances. 

Production & Operational Excellence 

• Support machining operations across prototype, low-rate, and production environments. 

• Maintain strict adherence to MES, process documentation, revision control, and manufacturing standards.  

• Ensure compliance with Environmental, Health, and Safety (EHS) requirements and machine shop best practices.  

• Support broader machining and shop activities as production priorities require. 

Basic Qualifications

• Extensive CNC programming experience with a strong focus on:  

• Horizontal turning mills  

• Mill-turn machining  

• Multi-axis turning systems  

• Strong CAM programming capability (Siemens NX preferred).  

• Strong understanding of machining dynamics, tooling, materials, and process optimization.  

• Experience with Siemens and/or Heidenhain controllers preferred.  

• Proficiency in CAD modeling and fixture/workholding design.  

• Demonstrated ability to develop machining strategies for first article and production hardware.  

• Strong understanding of GD&T and precision inspection methodologies.  

• Hands-on understanding of machine setup, operation, and prove-out activities.   

• Experience machining aerospace-grade materials including aluminum, steels, titanium, stainless steels, and nickel-based alloys. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Proficiency with Siemens NX CAD/CAM. 

• Experience with horizontal turning centers, mill-turn systems, multi-axis, & Precision grinding operations    

• Experience programming or supporting precision grinding equipment (5-axis grinding preferred). 

• Familiarity with palletized machining systems and automated manufacturing environments. 

• Experience machining large-format or high-precision rotational components. 

• Experience with additive manufacturing and hybrid additive-subtractive workflows. 

• Strong understanding of aerospace, automotive, defense, or turbine/energy hardware manufacturing. 

• Experience supporting high-rate production and production ramp environments. 

• Familiarity with in-process probing, automation, and advanced setup verification techniques. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans.
   
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables.
   
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Additional Requirements

• An on-site skills demonstration (< 60mins) is required as part of the hiring process to evaluate technical proficiency and practical machining abilities. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

Schedule
This is a 3 - 4 x 11 rotating shift working alternating Wednesdays.

Shifts Available

Sun - Wed 1st shift (5am - 4:30pm)
Wed - Sat 1st shift (5am - 4:30pm)
Wed - Sat 2nd shift (4pm - 3:30am)

Purpose

The CNC Machining Specialist is a hands-on technical expert responsible for developing and executing precision machining strategies with an emphasis on CNC turning operations, while maintaining versatility across milling and multi-axis machining environments. This role supports the production of high-performance components for advanced aerospace, automotive, and next-generation manufacturing systems. 

Operating with a high degree of autonomy, this individual partners closely with design and manufacturing engineering to translate complex hardware requirements into robust, scalable machining processes. The role is deeply rooted in shop-floor execution—owning setups, solving problems in real time, and driving machining excellence from prototype through rate production. 

This position plays a critical role in building repeatable, high-quality processes, improving throughput, and enabling rapid iteration in a fast-paced production environment. 

The Role

Turning & Machining Execution 

• Lead setup, operation, and optimization of CNC turning centers (mill-turn and multi-axis lathes) for precision components.  

• Execute machining & grinding across a range of equipment as needed, including 3-axis, 3+2, and 5-axis mills to support production demands.  

• Own first article through production runs, ensuring parts meet dimensional, surface finish, and performance requirements.  

• Apply advanced understanding of GD&T to validate setups and machining strategies directly on the floor. 

Process Development & Optimization 

• Define machining strategies across turning and milling operations, including:  

• Tooling selection  

• Workholding/fixturing concepts  

• Program approach and sequencing  

• Identify and eliminate inefficiencies in cycle time, tool life, and setup methodology.  

• Troubleshoot and resolve machining challenges (chatter, tool wear, thermal distortion, tolerance stack-up, machine limitations).  

• Partner with engineering to drive Design for Manufacturability (DFM), especially for turned features and rotational geometries. 

Production Ownership & Continuous Improvement 

• Take full ownership of machining processes on the floor—from initial prove-out to stable production.  

• Drive continuous improvement initiatives focused on:  

• Cycle time reduction  

• Scrap and rework reduction  

• Process capability and repeatability  

• Support production ramp by developing scalable processes, standardized tooling, and repeatable setups.  

• Act with urgency to resolve blockers impacting delivery schedules and production output. 

Quality & Documentation 

• Ensure all hardware meets internal and industry quality standards through disciplined process control.  

• Develop and maintain:  

• Setup sheets  

• Work instructions  

• Process standards  

• Collaborate with inspection teams to validate measurement strategies for tight-tolerance turned features.  

• Support root cause analysis and corrective actions for non-conformances. 

Team Leadership & Mentorship 

• Mentor machinists and operators on turning best practices, machining fundamentals, and advanced techniques.  

• Promote strong shop culture centered on accountability, craftsmanship, and continuous learning.  

• Provide technical guidance across shifts to ensure consistency and process adherence. 

Safety & Operational Excellence 

• Champion Environmental, Health, and Safety (EHS) standards within all machining activities.  

• Proactively identify risks in machining operations and implement mitigation strategies.  

• Maintain a clean, organized, and high-functioning work environment aligned with high-performance production standards. 

Basic Qualifications

• Extensive experience operating CNC turning centers (2-axis, live tooling, mill-turn, or multi-axis lathes).  

• Strong cross-functional machining experience including milling (3-axis, 3+2, 5-axis) & grinding.  

• Proficiency with Siemens, Fanuc, & Heidenhain controllers.  

• Advanced understanding of GD&T and its application in precision machining.  

• Proven ability to troubleshoot and optimize machining processes across tooling, fixturing, and programming.  

• Experience machining complex components in aluminum, steels, titanium, and nickel-based alloys (Inconel).  

• Demonstrated experience with advanced setup techniques, including dynamic work offsets and multi-operation setups.  

• Hands-on experience taking parts from first article through production.  

• Ability to create clear setup documentation and standardized machining processes.  

• Experience mentoring or leading other machinists on the shop floor. 

• Ability to lawfully access information and technology that is subject to US export controls 

Preferred Qualifications

• Familiarity with large-format or gantry-style machining systems.  

• Experience Machining additively manufactured components or hybrid workflows.  

• Strong manual machining skills to support tooling, fixtures, and rework operations.  

• Experience in high-rate production or rapid development environments with aggressive timelines. 

• Experience in CAD/CAM software/environments (NX CAM preferred).  

• Strong understanding of G-code. 

• Experience with writing probing routines for on machine part inspections. 

Work Environment

• This role operates in a fast-paced, high-mix production environment where priorities can shift rapidly based on engineering changes, supply chain constraints, and program milestones. The environment demands tight cross-functional collaboration with engineering, manufacturing, quality, logistics, and program teams to ensure daily execution aligns with long-term build plans. 
• Success in this environment requires hands-on engagement on the shop floor, strong systems knowledge, and the ability to anticipate and resolve scheduling risks before they impact key deliverables. 
• The culture emphasizes proactive communication, data-driven decision making, and continuous improvement to meet aggressive program timelines while maintaining high standards for quality, safety, and efficiency. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels ABC - XYZ as evaluated through our interview process. 

• Technician / T03: $47.00 - $51.00
• Lead Technician / T04: $52.00 - $60.00
• Senior Technician / T05: $60.00 - $69.00

About the Team: 

The Powder Bed Fusion manufacturing team develops, creates, and operates the most advanced additive manufacturing technologies in the world. This best-in-class team makes sure that the infrastructure, materials, tools, and equipment are in place for us to rapidly iterate and print. The Powder-Based manufacturing team was crucial to manufacturing Aeon-1 for first launch and now are developing and demonstrating groundbreaking technologies, design, and approaches for Aeon-R! 

About the Role:

• Perform routine periodic maintenance (PM) and troubleshooting of PBF Printers to ensure efficient operation and optimized output. 

• Perform laser optics inspection and calibrations to maintain optimal laser output.   

• Maintain inventory of critical spares, consumables, and tools necessary to maintain printers and equipment. 

• With the guidance of engineering and technical specialist team perform hardware repair and testing protocols to identify and resolve potential issues that may impact production.  Such as testing and validating Sensors, Valves, Actuators, and Motors. 

• Assist engineers and technical specialist team in developing and documenting standard operating procedures (SOP’s) related to printer maintenance and troubleshooting. 
• Provide onsite technical support and training to production team of changes to printer operations and daily maintenance.

About You:

• 3+ years of relevant experience working with PBF printers or similar additive manufacturing technologies. 

• 1+ years of maintenance and troubleshooting experience with PBF Printers or similar advanced technologies.  

• Relevant maintenance or machine operations certificates from OEM’s or accredited institutions such as EOS Self-Care, EOS Advanced Troubleshooting, Certified Maintenance & Reliability Technician, or equivalent. 

• Proficient with Laser Optic testing and inspections methods such as Laser Power, Laser Focus, and Scanner Accuracy. 

• Strong mechanical aptitude, attention to detail, and communication skills. 

• Strong experience with hand tools, power tools, pneumatic tools, and a solid understanding of materials and processes as they relate to maintenance and repairs. 

Nice to haves but not required: 

• Experience with other types of PBF printer OEM’s such as Velo3D, Additive Industries, GE, Concept, or 3D Systems. 

• Familiarity with diagnostic software such as EOS Service. 

• Familiarity with CAD or programming software. 

• Experience with Tooling Fabrication.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

About the Role

Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.

Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.

Please note: this role is remote - with 50% of travel required.

What You'll Do

• Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
• Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
• Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data,  and provide the tooling/content for self-service business justifications.
• Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
• Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
• Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
• Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
• Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.

What You Bring

• Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
• Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
• Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
• Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
• Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.

Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

ABOUT THE JOB

Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation that fuels aggressive AI-driven innovation. We are seeking an accomplished and passionate Data Product Enablement Specialist to champion the adoption and effective utilization of our enterprise semantic layer. Reporting to the Master Data Management (MDM) team, this pivotal role will act as a critical bridge between business intelligence needs and technical data solutions, actively shaping the semantic layer's development and empowering Anduril's diverse teams, from data scientists and application developers to business analysts, to leverage it for rapid application building, advanced analytics, and AI initiatives.

You will be a key contributor to the MDM Center of Excellence (CoE), working closely with business and technical stakeholders to define the semantic landscape. You will help translate complex technical data structures (PLM, MES, ERP, Foundry, Databricks) into intuitive, business-friendly ontology objects, and then serve as the primary expert and advocate for these models through hands-on workshops, hackathons, office hours, and comprehensive training programs. Your work will directly accelerate AI-driven application development, foster a vibrant culture of data self-service, and ensure that Anduril's data foundation scales to meet our aggressive growth and IPO readiness targets.

WHAT YOU'LL DO

• Contribute to Semantic Layer Design, Data Definition & Governance: Actively participate in the design and definition of the enterprise semantic layer, collaborating with Data Architecture, Data Platform, MDM, and business teams. This includes providing prioritization guidance on the development of the golden record based on business need, advising on semantic model structures, critical attributes on data entities, data relationships, and business logic within Anduril's Ontology. Partner with SMEs to build comprehensive data dictionaries and inventories. As a key member of the MDM CoE, contribute to the development and enforcement of data governance policies and data quality standards, while continuously gathering user feedback and collaborating closely with MDM, Data Platform teams, and relevant platform product teams (e.g., Palantir Foundry) to prioritize and implement semantic layer enhancements.
• Champion Semantic Layer Adoption & Operational Enablement: Lead the charge for semantic layer adoption, acting as the primary advocate and subject matter expert for all user personas. This includes designing and delivering comprehensive enablement programs (workshops, bootcamps, office hours, hackathons, documentation, and learning resources) and managing day-to-day operational workflows like routing complex issues, triaging support questions, and overseeing user access provisioning and security group management in close collaboration with InfoSec and Compliance.
• Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower users for self-service data consumption. Identify, cultivate, and equip power users across business domains to serve as local semantic layer champions, accelerating peer-to-peer learning and reducing reliance on centralized support. Build a scalable enablement ecosystem where knowledge compounds organically across teams.
• Consult & Facilitate AI-Driven Solutions: Provide guidance and direct support to data scientists, application developers, and business analysts on how to effectively query, integrate with, and maximize value from the semantic layer. Directly enable development teams by showcasing optimal methods for consuming semantic/gold layer data.
• Translate & Evangelize Strategic Value: Communicate the strategic value and practical benefits of the MDM-fueled semantic layer to diverse audiences, from engineers to executive stakeholders, clearly articulating how it accelerates innovation and ensures data trust, aligning with business objectives and IPO readiness.

REQUIRED QUALIFICATIONS

• Minimum of 6 years of progressive experience in Data Enablement, Data Analytics, Data Architecture, or Data Product roles, with a strong focus on user empowerment and semantic layer design.
• Exceptional ability to operate as a bridge between business and technical teams, translating complex business problems into clear data requirements, semantic model specifications, and data dictionary definitions that directly shape the enterprise golden record and ontology.
• Proven hands-on experience leveraging data platforms for data modeling, governance, and consumption patterns.
• Proven experience with Master Data Management principles and their application in building trusted data foundations, including data quality, governance, stewardship, and data lifecycle management.
• Familiarity with modern data platforms and tools (e.g., SQL, Python, Tableau, data modeling) and their integration points with semantic layers.
• Demonstrated experience designing, developing, and delivering engaging technical training programs, workshops, and hackathons, with a track record of driving adoption and building communities of practice.
• Excellent communication, presentation, and stakeholder management skills, capable of articulating complex data concepts as clear, actionable insights for diverse audiences.
• Understanding of AI/ML concepts and how semantic layers facilitate feature engineering and model development.
• Familiarity with data governance, metadata management, data lineage, and user access management as they pertain to data trust, security, and compliance (e.g., ITAR, CUI).

PREFERRED QUALIFICATIONS

• Experience in highly regulated industries (e.g., defense, aerospace).
• Direct experience integrating semantic layers with LLM agents or Digital Twin platforms.
• Certification in relevant data platforms (e.g., Palantir Foundry, Databricks).
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network. 

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly. 

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  4+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,000 and $291,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network.

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly.. 

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  2+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,000 and $240,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network.

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly..

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  2+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,000 and $240,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 

As An Active Member Of Our Team, You Will...

• Work with the product engineering teams to prototype and experiment with new AI features
• Work across backend, frontend, and interact with LLMs and/or other ML models
• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
• Stay up-to-date with the latest AI technologies and trends
• Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Bachelor's degree in CS/EE with 6+ years of industry experience
• Ability to problem solve from first principles and maintain focus on overarching objectives
• Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
• Experience as an AI/ML Engineer
• Experience with ML Ops
• Experience with Typescript/JavaScript and either Node or React

Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

Purpose

Accelerate execution of mission critical legal workstreams; assure high fidelity execution of corporate governance tasks; mature legal and compliance functions.  

The Role

• Manage cap table and track equity transactions  
• Draft and maintain corporate documents including board and shareholder consents, resolutions, meeting minutes, transactional closing binders, agreements, etc. 
• Circulate shareholder notices and company disclosures to relevant equity holders in compliance with Delaware corporation law and SEC rules 
• Support with preparing documents for board meetings, financial transactions, stock transfers and employee equity grants 
• Coordinate and track signatures on board consents, agreements and transactional documents 
• Assist with formation and maintenance of new corporate entities, both domestic and international 
• Manage and track annual corporate obligations and filings  
• Complete filings in connection with compliance with securities laws, including Blue Sky 
• Assist with KYC review and sanctions screenings   
• Track investor records, rights, and obligations 
• Support negotiation and management of basic commercial agreements 
• Produce documents and templates related to the development and implementation of corporate policies 
• May also work on other matters including insurance, contract management, and general legal support 

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor's degree 
• 5+ years of experience working as a paralegal or legal analyst in a law firm or in-house legal, corporate secretary and/or corporate finance department 
• Experience managing corporate cap tables preferably in Shareworks or Carta platforms  
• Basic understanding of stock options, restricted stock units, etc., and related vesting schedules 
• Excellent judgment and organizational skills 
• Excellent verbal and written communications skills, including ability to interact with colleagues at all levels of the corporate structure as well as investors and outside counsel 
• Ability to prioritize and handle numerous competing demands in a high-volume, fast-paced working environment 
• Ability to identify and resolve or escalate issues in a timely manner

Preferred Qualifications

• 10+ years of experience working as a paralegal or legal analyst in a law firm or in-house legal, corporate secretary and/or corporate finance department 
• Paralegal certificate 
• Notary Public 
• Experience with a mature private company 
• Experience with the formation and management of international entities 
• Experience with insurance related matters, including complying with requirements and processing claims 
• Communicating with and managing external service providers and outside counsel 

Work Environment

• This position is hybrid and based in our Torrance, CA office. 

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S06 as evaluated through our interview process. 

• S05/Senior Paralegal: $89,970- $123,710
• S06/Lead Paralegal: $103,900- $142,860

Position

Are you a passionate Software Engineer looking to bring cutting-edge software solutions to drug discovery? Join our mission to bring novel therapeutics to patients and be at the forefront of driving innovation through technology. As a Software Engineer 2, you will leverage your expertise to develop and implement software solutions that drive our groundbreaking scientific initiatives.

About You

The ideal candidate for this role thrives at the intersection of software and scientific discovery. You are proficient with production-quality Python codebases and can contribute to, maintain, and extend these codebases in a robust and scalable way. At the same time, you understand the fast pace of scientific discovery, and can collaborate with scientists to clarify requirements, focus on result rather than implementation, and keep projects moving forward. You are a strong communicator, especially to non-engineers, as well as a strong team player, always ready to pitch in to help a colleague. You are a continual learner with a growth mindset, eager to learn from your colleagues and expand your talents in a supportive environment and are excited about our mission to bring drugs to patients.

What You’ll Do

• Work with scientists to understand data generated by early drug discovery projects and provide custom analyses and/or production software solutions to answer key questions about the data.
• Build, maintain, and extend tools that deliver machine-learning-based as well as classical algorithmic solutions to scientists.
• Contribute to the continuous improvement of software development processes, tools, and methodologies.
• Conduct thorough code reviews, promoting best practices and identifying opportunities for code optimization and enhancement.
• Collaborate with team members, sharing insights and fostering a culture of knowledge sharing and learning.
• Uphold ethical and data privacy standards in all software engineering activities.

Qualifications

• BS in Computer Science, Mathematics, Physics, Bioinformatics, Biophysics, or a related field, plus 2 years of relevant experience, or equivalent work experience.
• Demonstrated experience (2+ years) with Python; familiarity with scientific programming packages (pandas, numpy) and/or machine learning frameworks (TensorFlow) a plus.
• Undergraduate level biology knowledge required; experience manipulating and analyzing biologically relevant data sets strongly desired (e.g. sequencing data, cellular imaging data, etc).
• Introductory coursework on deep learning or other modern ML approaches, or equivalent work experience, a plus.
• Familiarity with basic software best practices (CI/CDD, unit testing, version control, etc.) highly preferred.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively to overcome technical challenges.
• Effective communication skills to collaborate with diverse teams, both technical and non-technical, especially across disciplines.
• Demonstrated ability to thrive in a fast-paced, dynamic work environment.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $135,000 to $147,250 depending on skills, competency, and the market demand for your expertise.

Position 

The Software Engineering Manager, Data Engineering will join a multi-disciplinary engineering team that develops systems handling multiple high-throughput (PB/week) high-content imaging data streams. The position's primary responsibility will be to lead a small team to design and support mission-critical computational pipelines to analyze proprietary microscopy data, in collaboration with the larger Engineering, Research and Information Technology teams. 

About You 

You are a software engineer at heart who enjoys discussing architecture and data design with senior peers. You actively code and collaborate while keeping team goals aligned with business objectives. 

What You will Do 

• Manage a small team of software engineers.
• Maintain essential computational pipelines and applications for ongoing scientific research.
• Build reliable, flexible data processing and data storage architecture to organize biological and microscopy datasets and extract features from Eikon’s proprietary data.
• Work with data lakes and data pipelines to organize, clean, and serve scientific data for diverse use cases.
• Define and evolve the engineering system architecture vision to support system features and user-facing capabilities.
• Characterize and communicate design trade-offs to technical and non-technical audiences.
• Collaborate with Product and Program Management to develop high-level roadmaps for key software deliverables satisfying defined system-level business needs and user acceptance tests.
• Stay up to date with emerging trends and advancements in machine learning, distributed systems, cloud technologies, and software engineering practices, and evaluate their potential impact on our internal products.

Qualifications 

• Bachelor's degree with 15 years of relevant experience or a master's degree with 12 years of relevant experience or a PhD with 8 years of relevant experience in Computer Science, Software Engineering or a related field.
• Prior management and leadership experience.
• Prior experience building and supporting reliable production data pipelines.
• Strong proficiency in Postgres, Python, React, TypeScript. 
• Experience in multiple strongly typed languages such as C++, C# or Java.
• Successful track record designing software and systems architecture, including API and database design, commercial application development, cloud services, and DevOps practices.
• Experience with architecting and building analysis software.
• Excellent verbal and written communication skills, ability to bridge the gap between scientific users, engineers and developers. 
• Team-oriented, flexible, able to adapt to rapidly evolving goals and challenges. 
• Demonstrated leadership skills in a changing organization with evolving processes.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $183,000 to $199,500 depending on skills, competency, and the market demand for your expertise.

About the Team: 

The engine manufacturing department's mission is to product high performing products & manufacturing systems by continuously innovating on cost, quality, and lead time. Through cross-functional collaboration, high levels of accountability, and a focus on safety we support the Terran R program. We are responsible for providing design feedback on new hardware iterations, developing new manufacturing methods and systems, and ultimately building engine and vehicle hardware for testing prior to our first launch. Our team's highlights from the last 6 months include the MDC of the first Aeon-R engine, completing thousands of hours of PBF printing, building and testing over 50 valves of 26 different iterations, and implementing large scale process improvements along the way. 

About the Role:

As CNC Programmer, you will develop the programs, post G-code, and machine a variety of 3d-printed engine parts. You will develop first article programs and optimize them into production programs. You must be able to write a manufacturing plan, develop your own tooling and fixtures, and collaborate with manufacturing engineers to develop new machining processes.  

In order to be successful in this role, you should be someone who thrives in ambiguity and is able to drive their own projects to completion. You must have the passion, tenacity and resolve to work through challenging issues unique to precision-machined hardware.  Ideally, you are someone who has come from a fast paced, aerospace environment, having completed difficult projects while collaborating effectively with multidisciplinary groups.   

 More specifically, we are looking for: 

• Someone who can program and operate multi axis machines (2-axis, 3-axis, 5-axis, mill/turn)
• Someone with experience programming and operating DMG-MORI machines (NLX, NTX, DMC FD, and DMU series)
• Someone who can optimize programs and post code using Esprit, Mastercam or similar CAM software
• Someone who has run lights-out production before 

About You:

• 7+ years of CNC programming experience
• Understanding of GD&T and tolerance stack-up
• Ability to program and operate multi-axis high-precision machines (5-axis, 3 axis, lathe, mill/turn)
• Ability to manually edit G-code paths/settings to optimize production programs
• Experience creating detailed set up instructions
• Experience transitioning parts from first article to production 

Nice to haves but not required:  

• Degree in Engineering or related technical field and 6+ years of relevant experience
• Experience machining 3D-printed parts
• Experience in a startup or agile development environment
• Experience working in a flight development program
• Experience working in fast-paced, R&D environment 

About the Team: 

The engine manufacturing department's mission is to product high performing products & manufacturing systems by continuously innovating on cost, quality, and lead time. Through cross-functional collaboration, high levels of accountability, and a focus on safety we support the Terran R program. We are responsible for providing design feedback on new hardware iterations, developing new manufacturing methods and systems, and ultimately building engine and vehicle hardware for testing prior to our first launch. Our team's highlights from the last 6 months include the MDC of the first Aeon-R engine, completing thousands of hours of PBF printing, building and testing over 50 valves of 26 different iterations, and implementing large scale process improvements along the way. 

About the Role:

As CNC Programmer, you will develop the programs, post G-code, and machine a variety of 3d-printed engine parts. You will develop first article programs and optimize them into production programs. You must be able to write a manufacturing plan, develop your own tooling and fixtures, and collaborate with manufacturing engineers to develop new machining processes.  

In order to be successful in this role, you should be someone who thrives in ambiguity and is able to drive their own projects to completion. You must have the passion, tenacity and resolve to work through challenging issues unique to precision-machined hardware.  Ideally, you are someone who has come from a fast paced, aerospace environment, having completed difficult projects while collaborating effectively with multidisciplinary groups.   

 More specifically, we are looking for: 

• Someone who can program and operate multi axis machines (2-axis, 3-axis, 5-axis, mill/turn)
• Someone with experience programming and operating DMG-MORI machines (NLX, NTX, DMC FD, and DMU series)
• Someone who can optimize programs and post code using Esprit, Mastercam or similar CAM software
• Someone who has run lights-out production before 

About You:

• 7+ years of CNC programming experience
• Understanding of GD&T and tolerance stack-up
• Ability to program and operate multi-axis high-precision machines (5-axis, 3 axis, lathe, mill/turn)
• Ability to manually edit G-code paths/settings to optimize production programs
• Experience creating detailed set up instructions
• Experience transitioning parts from first article to production 

Nice to haves but not required:  

• Degree in Engineering or related technical field and 6+ years of relevant experience
• Experience machining 3D-printed parts
• Experience in a startup or agile development environment
• Experience working in a flight development program
• Experience working in fast-paced, R&D environment 

About the Team: 

The engine manufacturing department's mission is to product high performing products & manufacturing systems by continuously innovating on cost, quality, and lead time. Through cross-functional collaboration, high levels of accountability, and a focus on safety we support the Terran R program. We are responsible for providing design feedback on new hardware iterations, developing new manufacturing methods and systems, and ultimately building engine and vehicle hardware for testing prior to our first launch. Our team's highlights from the last 6 months include the MDC of the first Aeon-R engine, completing thousands of hours of PBF printing, building and testing over 50 valves of 26 different iterations, and implementing large scale process improvements along the way. 

About the Role:

As CNC Programmer, you will develop the programs, post G-code, and machine a variety of 3d-printed engine parts. You will develop first article programs and optimize them into production programs. You must be able to write a manufacturing plan, develop your own tooling and fixtures, and collaborate with manufacturing engineers to develop new machining processes.  

In order to be successful in this role, you should be someone who thrives in ambiguity and is able to drive their own projects to completion. You must have the passion, tenacity and resolve to work through challenging issues unique to precision-machined hardware.  Ideally, you are someone who has come from a fast paced, aerospace environment, having completed difficult projects while collaborating effectively with multidisciplinary groups.   

 More specifically, we are looking for: 

• Someone who can program and operate multi axis machines (2-axis, 3-axis, 5-axis, mill/turn)
• Someone with experience programming and operating DMG-MORI machines (NLX, NTX, DMC FD, and DMU series)
• Someone who can optimize programs and post code using Esprit, Mastercam or similar CAM software
• Someone who has run lights-out production before 

About You:

• 4+ years of CNC programming experience
• Understanding of GD&T and tolerance stack-up
• Ability to program and operate multi-axis high-precision machines (5-axis, 3 axis, lathe, mill/turn)
• Ability to manually edit G-code paths/settings to optimize production programs
• Experience creating detailed set up instructions
• Experience transitioning parts from first article to production 

Nice to haves but not required:  

• Degree in Engineering or related technical field and 6+ years of relevant experience
• Experience machining 3D-printed parts
• Experience in a startup or agile development environment
• Experience working in a flight development program
• Experience working in fast-paced, R&D environment 

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Job Description

• Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
• Understand the performance and functionality requirements our AI fabric Switches must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Formulate a comprehensive validation plan for AI fabric switch products. automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion.
• Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Basic Qualifications 

• Strong academic and technical background in Electrical or Computer Engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
• ≥3 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence. 
• Good understanding of High Speed Signaling Principles.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Required Experience 

• Hands-on, thorough knowledge of high-speed protocols like  PCIe, CXL, NVMe, or Ethernet.
• Experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
• A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
• Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.
• Ability to work on multiple projects.

Preferred Experience 

• Working knowledge of C or C++ for embedded FW and device drivers.
• Familiarity with PCIe compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
• Knowledge of schematic capture and PCB layout tools from Cadence Allegro, Altium, etc.
• Exceptional interpersonal and collaboration skills, with a proven track record of effectively leading, influencing, and navigating complex matrixed environments.

Your base salary will be determined based on your experience and the pay of employees in similar positions. The base salary range is $135,000 USD - $165,000 USD for Senior Level, and $160,000 USD - $195,000 USD for Staff Level.

Meet our software engineers!

About the role

We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers.

At Applied Intuition, you will:

• Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings.
• Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production.
• Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment.
• Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
• Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers.

We're looking for someone who has:

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 2+ years of experience building and deploying AI/ML-powered features & products
• Hands-on proficiency working with LLMs and agentic architectures.
• Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
• Comfort working across the stack, from backend infrastructure to APIs to frontend work.
• A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
• Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment

Nice to have:

• Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
• Background in developer tooling, platform engineering, or internal productivity infrastructure
• Experience working with autonomous vehicle systems or simulation software

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $126,000 - $250,000 USD annually.

Field Onboarding Manager

LOCATION: San Francisco onsite 2 days per week.

ABOUT THE POSITION & TEAM

At Okta, the Global Sales Onboarding Team plays a mission-critical role in accelerating new hire ramp time and providing ongoing enablement support, equipping sellers with the skills, knowledge, and confidence to perform at their best in a highly technical environment. 

Our approach to sales enablement is a holistic experience that includes self-guided learning, virtual instructor-led trainings, certifications, in-person learning, and immersive experiences. 

The Field Onboarding Manager, will wear many hats including: strategy, facilitation, content development, coordination, stakeholder management, and measurement of impact. This person will primarily serve our AMER based field audience to drive GTM readiness, through experiences that delight. This person will partner directly with the Enablement Business Partner and sales leaders to identify the needs of the business to best serve our new hires. We’ll teach you the tech; you teach our sellers how to win!

Key Responsibilities:

• Strategic Liaison: Identify ways to drive impact and up level or existing programing, while maintaining tight feedback loops with sales leaders. 
• Program Lead: Manage the end-to-end delivery of the AMER sales onboarding experience.
• Facilitation & Coaching: Conduct high-impact sessions (virtual and in-person) that engage learners, create a safe space for learning, and achieve learning objectives.
• Coordination: Not afraid of a spreadsheet, and super detail oriented to ensure events and complex programs run smoothly.
• Stakeholder Management: Aligns with stakeholders on a predictable ongoing basis to ensure tight feedback loops with sales executives and leaders, and to adjust learning interventions as needed.
• Measurement of Impact: Uses data driven decision making to influence strategy. 
• Cultivate a High-Energy First Impression: Serve as an ambassador for the Okta sales culture, ensuring every new hire feels welcomed, valued, and energized from Day 1.
• Multi-Track Program Support: Demonstrate the agility to support onboarding work streams outside of the core Sales segment.

Experience & Success Characteristics

• Product Knowledge Pro: Deep understanding of complex technical products (or an aptitude to learn quickly).
• Field Enablement Experience: Experience scaling onboarding programs in high-growth environments; practical sales or quota-carrying experience is preferred.
• Operational Guru: Proven ability to manage large-scale programs and logistics while juggling competing priorities.
• Exceptional Facilitator: Comfortable commanding a room to drive behavior change.
• Continuous Improver: Data-driven mindset focused on speeding up productivity.
• Tech-forward mindset: Proficiency in Google Workspace and Slack for seamless team collaboration, and experience leveraging Sales Enablement Platforms 
• Meticulous attention to detail: Proven ability to manage complex project logistics, ensuring high-quality, error-free delivery of onboarding materials and training schedules in a fast-paced environment.
• Highly adaptable with a 'builder' mentality: Comfortable navigating ambiguous environments to create structure, refine processes, and solve problems proactively as business needs evolve.
• Exceptional verbal and written communication skills: Ability to distill complex technical concepts into simple, actionable training and the presence to influence stakeholders at all levels of the organization.
• Team Player: Willing to pick up the slack for teammates when needed, and willing to show up in a collaborative manner.

Requirements

• 3+ years of experience in enablement, onboarding, or SaaS sales.
• Strong knowledge of CIAM and security landscapes, or strong aptitude for learning.
• Bachelor’s degree or equivalent practical experience as a requirement.
• Willingness to travel 10–15% as business needs require.

Okta's Core Leadership Competencies

Managers at Okta are expected to embody the following:

• Builds Effective Teams: Leveraging diverse skills to achieve common goals.
• Demonstrates Self-Awareness (EQ): Using feedback to gain insight into strengths and weaknesses.
• Develops Talent: Supporting career goals alongside organizational needs.
• Drives Results: Consistently achieving outcomes under tough circumstances.
• Strategic Mindset: Translating future possibilities into breakthrough strategies.

#LI-onsite

P19959

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 6+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.