Top Tech Jobs & Startup Jobs

Manage a technical recruiting team, develop hiring strategies, and foster recruitment partnerships to attract engineering talent, supporting Zoox's innovation goals.

Lead design and delivery of fail-operational capabilities across Vehicle, Autonomy, and Operations. Create verifiable requirements and model-based designs, coordinate cross-functional implementation and validation, quantify product risks with functional safety, and drive triage and debug with stakeholders.

Own and enhance Zoox's Bazel-based build ecosystem for a large polyglot monorepo: optimize build pipelines, develop Starlark rules and tooling, integrate quality tools, and build dashboards to improve developer velocity and reliability.

Lead end-to-end delivery of vehicle attribute development (NVH, sound, ride/handling). Remove technical bottlenecks, coordinate hardware/software/validation dependencies, design JIRA workflows and reporting, surface risks and recovery plans, and communicate concise technical updates to leadership.

Design, implement, and maintain the embedded Linux OS platform for on-vehicle devices. Configure Yocto and U-Boot, develop kernel-space components and drivers, optimize performance, support hardware bring-up, manufacturing, and cross-functional integrations.

Design and evolve perception architecture for autonomous products, integrating sensing technologies, and leading cross-functional teams on AI and performance metrics.

Lead strategic sourcing for vehicle direct materials and operations infrastructure. Manage supplier selection, RFQs, contract negotiation, cost reduction, supplier performance, and commercial/supply chain issues. Drive market research, total cost of ownership models, and cross-functional stakeholder engagement to support a 3–5 year vehicle development roadmap.

Lead design and implementation of backend web services for 3D HD maps, build frontend mapping tools, automate mapping pipelines, mentor engineers, refactor code, and scale mapping operations to new cities.

Lead a team of software performance engineers to optimize on-bot autonomy software, ensuring performance meets latency targets and develops self-service frameworks for performance optimization.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.