Manufacturing Test Engineer

Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! The ability to work independently as well as organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams Release updated test programs for new generations of hardware and software Establish best practices and drive continuous improvement on test deployment, runtime, and yield Qualifications BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 8+ years of industry experience or equivalent Strong knowledge of Python and shell (bash) scripting Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal Strong verbal and written communication sk

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 artificial intelligence, robotics, 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. As a Staff Compute & Controls Systems Engineer in Advanced Hardware Engineering (AHE), you will be responsible for developing and documenting requirements for compute and control system modules, while also driving key functional safety analyses for our compute platforms. You will work across departments at Zoox to build a system-level understanding of how AHE hardware enables critical operational functions, and you will lead the Compute Safety Analysis (FMEDA) that ensures those functions fail safely. You will work closely with hardware and software architects, and with design, safety, manufacturing, and test engineers, to ensure requirements are verified throughout the engineering development process. Your assessments will be critical to meeting milestones as we develop new generations of hardware. In this role, you will: Apply compute, controls, and systems engineering principles to define traceable computing requirements from product goals Engage with product, HW/SW engineering, production, safety, and business teams to author detailed requirements for compute and control modules. Analyze tradeoffs and drive consensus with product, hardware, and software teams to converge on compute architecture for current and new vehicle platforms. Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights. Create and maintain clear, precise documentation to support system designs, architectural decisions, an

Zoox builds and operates a fleet of purpose-built robotaxis, and every vehicle must prove its build integrity before it can carry riders. The HWSI team builds the platform that authors, schedules, and executes Build Integrity Tests (BIT) across the manufacturing line and the fleet, and turns the results into the data that engineers and operators rely on every day. In this role, you will: Own the architecture and core of our test-orchestration platform - the distributed task scheduling, execution, and result-collection engine that runs tests across manufacturing and the fleet - and you'll personally build its most complex, reliability-critical components. Lead a small engineering team of two engineers plus 1–3 contractors: setting technical direction, reviewing code, and growing the team's impact. Make the platform resilient at scale - design for safe mid-run cancellation, no result loss under failure, and predictable behavior across hundreds of test runs as the line moves toward high production rate. Build clean APIs and frameworks that let other teams plug their own test suites into the platform without forking it, multiplying the team's reach ac

Zoox is seeking a Diagnostics Engineer to drive Design for Serviceability (DFS) and ensure service readiness across our products. In this role, you will evaluate diagnostic and controller programming functions at the component, system, and vehicle levels to ensure they are intuitive and effective for Base Operations technicians. You will partner closely with Vehicle Engineering, Manufacturing, Industrial Design, and Prototyping to advocate for serviceability and maintenance optimization. This role includes regular engagement with field technicians to assess real-world service challenges and translate that feedback into improved diagnostic strategies, tools, and workflows that support efficient vehicle maintenance and repair. In this role, you will Establish relationships with Manufacturing, Validation, and Product Development teams to drive diagnostics requirements for every electronic control module and I/O. Collaboratively design, develop, and validate on-board and off-board diagnostic test tools for reporting diagnostic codes, alerts, and control functions. Develop standardized technical requirements for controller programming tools and process flow. <p style="line-height: 1.56522; margin-t

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. Qualificat

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi. In this role, you will: Own the fleet validation operational strategy: Lead the end-to-end strategy and execution of mileage accumulation for both the physical test fleet and simulation assets, to enable Zoox’s geofence expansion across all cities. Partner closely with upstream teams (e.g. Autonomy, Systems Design & Mission Assurance, Places & Build) and downstream teams (e.g. Data Science, Fleet Operations) to ensure critical inputs are available, and results are delivered; you will ultimately "own the outcome" of test fleet data collection. This is a high leverage, high impact role. Usher in a simulation-first methodology : Act as the cross-functional catalyst for scaling simulated mileage accumulation. Drive alignment between Autonomy, System Design & Mission Assurance, and Simulation teams to ensure clear requirements are set, and simulation platforms are resourced to meet exponentially growing data needs. Identify and resolve critical bottlenecks : Develop rigorous tracking mechanisms that model the impact of upstream dependencies (e.g., map content deliverables and safety requirements). You’ll think critically and work cross-functionally to squash inefficiencies in upstream and downstream pipelines and systems. Partner collaboratively wi