Qa Engineer in Foster City

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features. In this role, you will: Apply distributed computing algorithms to analyze petabytes of urban driving data. Develop metrics and tools to analyze errors and system improvements. Work closely with CAS engineers to evaluate system performance. Collaborate with Perception engineers to define metrics for autonomous driving. Partner with Planning engineers t

At Zoox, the release teams handle the complex orchestration of releases spanning vehicle, cloud, and client code bases. From first commit to full production, our mission is to make every release predictable, transparent, and fast. We build the tooling and automation that improves the release lifecycle for our own teams and for teams across Zoox. We are seeking a technical expert in version control, continuous integration, and build systems who is equally comfortable driving a release end to end and engineering the systems that streamline it. You will work closely with our customers, from the teams whose components we release to the downstream consumers of each build, translating their needs into a better release experience and serving as a force multiplier within our team and beyond. In this role, you will: Own the end-to-end release process for a portfolio of vehicle software components, from branch cut through validation, hotfixes, and deployment to production Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics Partner closely with our customers,

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.

Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation.

The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe, comfortable, and completes the mission. In this role, you will collaborate closely with the Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, and ML Infra teams. In this role, you will: Lead a Team: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement. Develop Strategy: Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area. You’ll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions. Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference. Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement. Manage Resour

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. As part of the Release Management team at Zoox, you will own all aspects of the software release process and help accelerate our product development by leading various weekly / fortnightly / monthly releases focused on ensuring we are shipping the safest and most reliable software possible. As developers build new features, the release management team will be responsible for tracking and knowing the content of each release, updating testing strategies, measuring system performance, and escalating issues seen during on-vehicle and offline testing. These efforts are critical to maintaining our code quality and ensuring our service capabilities are operating as intended. You will coordinate with cross-divisional teams to accelerate releases, increase the quality of our autonomous driving products, and optimize resource efficiency. Your ability to understand the overall system design and component interaction to help guide test methodology for functional and safety sign-off is crucial to the overall success of the release team. Accountability and integrity are core to Zoox teams. In this role, you will: <p style="ma