Jobs at Zoox

Own the triage program for autonomous vehicle fleet and simulation events. Lead defect classification and routing, monitor triage metrics, manage intake and escalations, coordinate tooling and automation, and forecast quarterly capacity across internal and vendor teams. Partner with software, QA, safety, product, vehicle operations, and program management stakeholders to improve accuracy, throughput, automation, and issue resolution.

Optimize GPU-based motion-planning algorithms for latency, memory usage, and resource utilization. Analyze performance metrics, identify GPU hotspots, adapt the planner across GPU architectures, optimize machine-learning models, and support engineers as a CUDA and GPU-performance subject matter expert. The role involves C++ development in large codebases, Linux environments, and debugging and profiling complex multiprocess robotic systems.

Define and lead vehicle experience product areas across current and future autonomous vehicle platforms. Own product execution throughout the lifecycle, understand customer and market needs, prioritize features, and align product strategy with business goals. Serve as Product Owner across hardware, firmware, software, and operations teams, driving cross-functional decisions and scalable, customer-focused vehicle experiences.

Owns diagnostic deployment for current and future service vehicle fleets, from requirements through release. Improves fault isolation, diagnostic quality, and time-to-diagnose using fleet data; maintains traceability across requirements, implementation, testing, and field performance. Defines service actions, develops prognostic and predictive-maintenance features, establishes diagnostic metrics, and drives continuous improvement with systems, firmware, software, service engineering, and fleet operations teams.

Leads Zoox’s perception data organization and data flywheel, connecting fleet signals, data discovery, curation, annotation, model training, evaluation, and performance measurement. Manages a multidisciplinary team of data science, data engineering, and labeling professionals. Drives automated annotation, intelligent mining of rare and safety-critical scenarios, log selection and storage, and rigorous tradeoffs among data quality, cost, speed, and scale. Partners with machine learning, metrics, evaluation, and infrastructure teams to improve autonomous-driving models.

Develop mission-planning algorithms for autonomous vehicles, including graph search and behavioral-planning integration. Build, test, and improve software directly on robotic platforms while collaborating across Mission Planning, Cloud Services, and vehicle autonomy teams. Contribute to technical direction, coordinate cross-functional initiatives, and create scalable solutions for sequential decision-making under uncertainty using MDPs and related frameworks.

Leads triage, containment, root-cause analysis, and permanent corrective actions for electrical-system issues identified during autonomous vehicle assembly and end-of-line testing. Partners with engineering, manufacturing, quality, suppliers, and operations to improve build readiness, manufacturability, production efficiency, and fleet reliability. Supports prototype builds, production trials, engineering changes, issue tracking, dashboards, and cross-functional resolution execution.

Lead policy, safety, and reputation communications for Zoox as it scales autonomous robotaxis toward commercial service. Develop proactive campaigns, manage media and reactive issues, translate regulatory developments into communications strategies, and advise senior stakeholders on sensitive matters. Partner with policy, safety, legal, product, and public affairs teams to build trust with regulators, communities, media, and the public.

Own and scale Zoox’s continuous integration platform, improving build performance, reliability, cost efficiency, failure analysis, and developer support. The role involves operating distributed CI at scale, optimizing monorepo integration, applying AI tools to incident response, enabling engineering teams, establishing technical standards, and mentoring engineers.

Owns hardware-level functional safety and system-level sensor safety for cameras, LiDAR, and radar. Responsibilities include reviewing supplier documentation for SEooC and AoU alignment, validating ASIL compliance, executing board-level FMEDA for FPGAs and microcontrollers, defining diagnostic monitoring requirements, and supporting SOTIF simulation and physical testing for perception edge cases. Requires an engineering degree, at least three years of hardware experience, and knowledge of ISO 26262 and SOTIF.

Lead the Middleware Transport team responsible for in-vehicle messaging, networking, serialization abstractions, and vehicle-to-cloud connectivity. Own the roadmap, staffing, architecture, and release commitments while developing engineers and managing performance and hiring. Partner cross-functionally with firmware, security, simulation, manufacturing, fleet operations, and infrastructure teams. Balance reliability incidents with long-term platform architecture and establish technical standards for transport systems.

Lead end-to-end development and deployment of enterprise generative AI and LLM applications, including agentic workflows, MCP-based data integrations, secure tool usage, AI gateways, identity propagation, access controls, and observability. The role partners with Information Security and corporate functions to deliver governed AI automation across procurement, supply chain, legal, finance, HR, and manufacturing.

Own full-cycle recruiting for business, operations, technical, manufacturing, and fleet roles. Partner with hiring managers and leadership to define requirements, source and evaluate candidates, facilitate interviews, manage offers, advocate for candidates, and improve recruiting processes and experiences. The recruiter will manage diverse roles, adapt across teams, and support hiring in a fast-paced autonomous vehicle company.

The Software Engineer will enhance large-scale simulation pipelines for validating autonomous vehicle behavior, focusing on cost efficiency, reliability, and performance improvements.

Design, improve, and operate large-scale GPU- and data-intensive simulation and ML training pipelines (Ray/Kubernetes/AWS). Build production APIs, SDKs, and tools, and optimize cost, reliability, and performance to validate autonomous-vehicle behavior.

Leads cross-functional manufacturing programs to scale vehicle production. Responsibilities include developing roadmaps, schedules, validation plans, launch readiness activities, resource plans, and manufacturing strategies; coordinating suppliers and engineering teams; supporting assembly and testing; mitigating risks; tracking costs; resolving roadblocks; and communicating progress to leadership.

Develops traceable compute and controls requirements for autonomous vehicle platforms, leads compute safety analyses including FMEDA and FMEA, drives architecture tradeoffs, and coordinates verification, validation, diagnostics, and functional safety activities. The role collaborates across hardware, software, firmware, manufacturing, safety, and test teams to qualify systems, investigate failures, and ensure compliance with ISO 26262 and ISO 21448.

Lead the Primary Compute Unit program from architecture and hardware development through validation, integration, and production. Coordinate hardware, firmware, software, safety, supply chain, quality, manufacturing, and vehicle integration teams. Translate strategy into roadmaps, schedules, deliverables, budgets, and accountability systems. Manage suppliers, manufacturing readiness, issue resolution, root-cause analysis, stakeholder communications, and executive reporting while driving cross-functional alignment throughout the product lifecycle.

Owns end-to-end governance of hardware and product changes from engineering approval through cross-functional review and production-line implementation. Coordinates Engineering, Manufacturing, Quality, Purchasing, Supply Chain, Logistics, suppliers, and production teams. Manages multi-tier supply chain impacts, readiness, documentation, training, approvals, and audit-ready records. Builds change-pipeline dashboards and automates reporting using spreadsheets, scripts, and AI tools. Continuously improves governance frameworks, gate criteria, and change-management systems.

Leads Body and Closures technical programs, coordinating engineering teams, suppliers, manufacturing, quality, procurement, and service partners. Owns schedules, costs, quality, BOM integrity, technical risks, root-cause resolution, design reviews, DFMEAs, validation, and manufacturing readiness. Supports design engineering in CATIA and 3DEXPERIENCE while driving vehicle performance, manufacturability, serviceability, and end-to-end NPI delivery.