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.
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $179,000 to $294,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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.
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.