Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

Build and operate Zoox's scalable ML training framework and platform to support distributed training, model lifecycle, validation, serving, and monitoring. Collaborate with ML researchers, software and data engineers to define requirements, design architecture, and reduce time from ideation to production for various ML use cases across the company.

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.

Partner with Manufacturing, Supply Chain, and Accounting to own manufacturing KPIs (inventory, BOM, open PO), manage monthly S&OP and close activities, perform product costing and accruals, analyze large datasets from Anaplan/SAP/Ariba to drive insights, and support production system implementations through design, build, testing, and cutover.

Lead and manage an HR Generalists team and serve as the People Partner for HR. Drive talent integration, retention, performance management, org design, compensation insight, inclusion and learning needs, employee relations mitigation, and cross-functional people programs. Use data to assess talent risks and influence leaders while delivering scalable people solutions and managing projects to support a fast-growing startup environment.

Lead multiple engineering teams building AI-powered tools/agents and test infrastructure, data pipelines, and automation. Set roadmap, enforce architecture and release quality, drive cross-functional adoption, demo tools internally, and build scalable processes for predictable delivery.

Design and productionize ML/DL algorithms and agentic LLM triage systems, run and maintain multiple production data pipelines (Databricks/AWS), monitor and fix pipeline issues, build monitoring tools and dashboards, and collaborate with data science, planning, safety, and QA stakeholders.

Lead development and evolution of fail-operational metrics and frameworks for autonomous driving, define classification/triage methods, set metric targets, integrate event observations into risk estimates, and partner cross-functionally to escalate mitigations and communicate findings to stakeholders.

Design, implement, and maintain geometry algorithms, mapping data formats, validation frameworks, and post-processing pipelines. Build and grow APIs consumed by downstream teams, collaborate cross-functionally, produce documentation and tests, and contribute across the software development lifecycle to support vehicle localization and mapping.