Job description

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. Follow us on LinkedIn 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.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

Bonus Qualifications

Application prep

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Keywords to mirror

pythonmachine learning

Platform: lever
Effort: quick