Senior Software Engineer, Vehicle Deployment
Zoox
Listing collected from Zoox's career site. NextChapter is independent of Zoox.
Foster City, CA · $209k–$285k a year · Posted July 8, 2026
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Where Foster City, CA ranks
Where Foster City, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for pay after cost of living$209k · of 100
- #1Best cities for pay after cost of living in the West Coast$209k · of 39
- #1Best cities for pay after cost of living in California$209k · of 32
- #1Best cities for director and executive jobs in the West Coast38% · of 71
- #1Best cities for data and analytics pay after cost of living$232k · of 28
- #1Best cities for technology pay after cost of living$209k · of 80
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $247,000 a year. Across 615 open senior software engineer listings that state pay, the middle half runs $170,500 to $222,000 and the median is $199,000. That is 24% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
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How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Zoox’s Robot Software Infrastructure Deployment team builds the critical systems that flash and update software and firmware across our vehicles and test fixtures—spanning development, manufacturing, and fleet operations. Our deployment system orchestrates updates across a massive ecosystem: advanced sensors, high-performance compute platforms, automotive ECUs, network switches, and user interface devices.
Because of the sheer breadth of this domain, this role offers a unique vantage point. You will maintain a high-level view of our entire architecture while possessing the sharp technical acumen to dive deep into specific components when solving complex engineering challenges. If you thrive on variety, collaboration, and high-impact infrastructure, this team is for you.
In this role, you will:
Expand Capability: Design and integrate deployment support for next-generation vehicle components and subsystems.
Architect Infrastructure: Enhance the core deployment framework, developer tools, instrumentation, and integrations with broader engineering systems.
Optimize Performance: Drive systemic improvements in deployment speed, efficiency, and mission-critical reliability.
Root-Cause Failures: Triage, debug, and resolve complex deployment failures across hardware and software boundaries.
Collaborate Cross-Functionally: Partner closely with Firmware, QA, Systems, Manufacturing, and Fleet Operations teams to ensure seamless end-to-end execution.
Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
7+ years of professional experience developing clean, scalable code in Python .
Strong working knowledge of Linux within embedded or constrained environments.
Familiarity with CAN or other embedded/automotive communication protocols (e.g., Ethernet, LIN).
Demonstrated excellence in hardware/software triage, debugging, and root-cause analysis.
Bonus Qualifications
Proficiency in systems-level programming languages without automatic memory management (e.g., C or C++ ).
Experience configuring or optimizing software build systems (e.g., Bazel, CMake).
Familiarity with manufacturing execution systems (MES) or end-of-line flashing environments.
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.