Jobs at Zoox

Own and scale Zoox’s software systems engineering pipeline ecosystem for safety-critical autonomous vehicle software. Develop and maintain CI-enforced tooling, static and dynamic analysis pipelines, dashboards, KPIs, and instrumentation. Troubleshoot cross-platform and deterministic failures, support checker rollouts, define infrastructure strategy, and collaborate with software teams on high-assurance development processes, code reviews, incident postmortems, and delivery milestones.

Designs and develops automotive body structures, including body-in-white, crash structures, underbody systems, and vehicle integration. Leads component development from concept through production, defining requirements, schedules, validation plans, and quality processes. Collaborates with styling, packaging, CAE, testing, manufacturing, suppliers, and management while supporting material and manufacturing decisions. Requires automotive body engineering experience, mechanical engineering education, CATIA proficiency, and knowledge of DFMEA, DVP, PVP, APQP, DFSS, and GD&T.

Own the electrical and electrical-distribution program scope for autonomous vehicle programs involving external engineering partners. Coordinate EE work packages, manage RASIC ownership, change control, data exchange, PLM and drawing releases, supplier readiness, milestone planning, risk recovery, and executive reporting. The role requires automotive low-voltage harness and electrical architecture expertise, partner management across time zones, and proficiency with engineering change processes, risk analysis, and root-cause methodologies.

Own the Primary Compute Unit program end to end, coordinating hardware development, software integration, validation, manufacturing, suppliers, quality, safety, and fleet issue resolution. Build integrated schedules, roadmaps, budgets, milestones, risk mitigation plans, and communication processes. Lead cross-functional teams, manage contract manufacturers and supplier activities, track work in JIRA, ensure assembly readiness and on-time parts delivery, and communicate program status to senior stakeholders while influencing without formal authority.

Develop and maintain embedded Linux operating systems and platform software for autonomous vehicle devices. Responsibilities include building scalable robotics infrastructure, managing Yocto and U-Boot systems, developing device drivers and kernel components in C, C++, or Rust, optimizing hardware-accelerated workloads, and supporting hardware bring-up, manufacturing, integration, and production deployment.

Develop and maintain embedded Linux operating system platforms and robotics infrastructure for autonomous vehicles. Responsibilities include building platform-level software, managing Yocto and U-Boot systems, developing device drivers and kernel components in C, C++, or Rust, optimizing hardware-accelerated workloads, and supporting hardware bring-up, manufacturing, integration, validation, and production deployment.

Own and scale Zoox’s software systems engineering pipeline ecosystem, including static analysis, sanitizers, CI enforcement, dashboards, and quality metrics. Develop tools and infrastructure, transition prototypes into production systems, troubleshoot cross-platform and determinism issues, support checker rollouts, document system designs, and collaborate with engineering leaders on milestones, incident reviews, and long-term software reliability.

Develop deep learning models using imitation and reinforcement learning to generate autonomous vehicle trajectories. Build production ML pipelines, metrics, and error-analysis tools; evaluate driving plans for safety, progress, and comfort; and collaborate with Planning, Perception, Simulation, and Systems Engineering teams to improve autonomous driving in complex urban environments.

Perform system safety analyses for autonomous vehicle sensing and perception systems. Define safety requirements, metrics, and fail-operational architectures for camera, lidar, radar, sensor fusion, and machine learning subsystems. Lead cross-functional safety projects, apply ISO 26262 and SOTIF methods, guide sensor architecture decisions, analyze field and simulation data, and support safety arguments for public-road deployment. The role also involves data analysis, system-level tradeoffs, and using AI/LLM tools to improve efficiency.

Leads architecture, optimization, scaling, and ownership of Zoox’s enterprise and AI data platform. Builds self-healing pipelines, governance frameworks, data quality and observability systems, secure access controls, lifecycle policies, and automated CI/CD deployment infrastructure. Optimizes Databricks and AWS EMR performance and costs while enabling low-latency, AI-ready data foundations. The role also drives enterprise security, compliance, schema evolution, and developer velocity, with opportunities to apply GenAI, Terraform, and EKS.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Design and implement scalable, reliable full-stack web applications supporting autonomous robotaxi fleet monitoring and operations. Collaborate with product managers, designers, QA engineers, remote operators, and engineering teams to build features, improve existing systems, and optimize application performance, including latency, CPU and memory usage, and database queries. Contribute to in-vehicle visualization and real-time rider support tools while developing toward senior-level responsibilities.

Drive design for serviceability and service readiness for autonomous vehicles. Evaluate diagnostics and controller programming across component, system, and vehicle levels; develop diagnostic tools and standardized programming requirements; create service procedures and wiring documentation; and partner with engineering, manufacturing, validation, and field technicians to improve maintenance and repair workflows.

Lead Zoox’s global talent acquisition strategy and a 50+ person recruiting organization. Oversee university, internal mobility, executive, and technical recruiting; build scalable sourcing-to-offer processes; establish data-driven reporting and workforce-planning frameworks; leverage AI and HR technology; and advise the CEO, C-suite, and People Experience leadership on talent strategy and organizational growth.

The Executive Recruiter will drive the entire executive recruitment lifecycle, manage high-level stakeholder relationships, and engage top executive talent in a fast-paced environment.

Develop and test safety-critical embedded software for autonomous vehicle drive systems. Translate trajectories into motor, brake, and steering commands; build simulation, SIL, and HIL validation infrastructure; integrate steering, braking, motoring, and suspension subsystems; implement control-source arbitration and safety monitoring; and collaborate with controls, dynamics, safety, and validation teams.

Lead autonomy-wide initiatives to achieve driverless freeway operation. Define technical vision, strategy, and roadmap; identify and close gaps to driver-out readiness; develop and validate freeway-driving algorithms; communicate risks and trade-offs to technical and executive stakeholders; and mentor engineers. The role requires significant experience taking autonomous vehicle freeway programs from supervised to driverless operation, plus deep expertise in an autonomy domain such as planning, perception, prediction, simulation, or systems engineering.

Own and advance a deck.gl-based geospatial visualization library. Design 2D and 3D rendering capabilities for maps, road networks, lane geometry, and proprietary road structures; improve performance for large datasets; and strengthen architecture, testing, documentation, and code quality. Collaborate with Cartography and Simulation teams, mentor engineers, and build scalable shared libraries using React and TypeScript.

Lead signal and power integrity architecture for advanced robotaxi electronics and high-density PCBs. Define SI/PI constraints, routing strategies, simulation methodologies, and sign-off processes for PCIe, Ethernet, MIPI, GMSL, LPDDR, and A2B interfaces. Perform PDN analysis, lab characterization, root-cause investigations, and simulation-to-test correlation. Guide cross-functional hardware, silicon, layout, and mechanical teams while mentoring engineers and influencing technical strategy.

Develop and maintain embedded Linux firmware and cellular connectivity software for autonomous vehicle telematics control units. Integrate Qualcomm modem firmware and protocol stacks, architect host-side C/C++ interfaces, debug cross-layer LTE/5G issues, and support wireless platform prototyping. Build fleet telemetry and analytics systems, investigate field and QA issues, maintain Yocto-based Linux services and kernel code, automate testing, and collaborate with vendors and cross-functional engineering teams.