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Lead vehicle Bill of Materials cost estimating and should-cost modeling. Maintain vehicle development cost database, create detailed component/system cost estimates, drive value engineering, identify cost reduction opportunities, and collaborate with cross-functional engineering teams to optimize component design for cost and program volumes.

Lead and grow a team of autonomy perception TPMs, set program direction, translate strategy into roadmaps, manage schedules, risks, budgets, and stakeholder communications across autonomy software teams.

The Software Engineer will enhance driving behavior algorithms, collaborate cross-functionally on strategies to mitigate system failures, and implement scalable solutions in code, aiming for seamless integration with the driving stack.

Lead production quality assurance activities: track and resolve non-conformances, drive root cause analysis and corrective actions, establish NVH inspection processes, develop PFMEA and control plans, and lead continuous improvement across supplier, manufacturing, and vehicle development teams to ensure products meet specifications and customer expectations.

Partner with Executive Recruiting to develop sourcing strategies and market maps for Director/VP/C-suite roles. Conduct high-touch outreach, perform initial leadership screens, build and maintain executive talent pipelines, and represent Zoox to passive senior candidates.

Manage deployment and oversight of an MSP BPO procurement engagement, build SOPs and governance, track KPIs/SLAs, drive procurement operations improvements, partner with stakeholders, and support P2P workflows in Zip and Ariba.

Lead integration strategy and execution for Zoox's agentic platform. Collaborate with teams on tool integration, debug failures, and ensure resource readiness for production. Define integration artifacts and contribute to release processes.

Lead the Perception team in developing occupancy models and advanced AI techniques while collaborating cross-functionally. Oversee the team’s roadmap and technical strategy, ensuring high performance and reliability in complex environments.

The Senior Operations Manager will oversee daily operations of the autonomous vehicle fleet, manage teams, develop operational strategies, and ensure service delivery and safety in new markets.

Lead technical development of machine learning algorithms for the onboard Planner, advancing imitation learning, reinforcement learning, and model scaling; integrate foundation models; create metrics, data, and training frameworks; mentor ML developers; and collaborate across perception, simulation, system design, and safety teams to solve autonomous driving challenges in complex urban environments.