Top Tech Jobs & Startup Jobs

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.

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.

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.