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.

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.

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, 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.

The role involves optimizing machine learning models for autonomous driving by implementing performance techniques and collaborating with cross-functional teams on architectural decisions.

As a Technical Program Manager, you will drive program management efforts, collaborate with teams, improve processes, and enhance communication to succeed in technology projects.

Lead a team of engineers in developing cutting-edge perception systems, overseeing technical roadmaps and collaborating across disciplines to enhance AI capabilities in vehicle technology.

Lead the development of vehicle attributes in autonomous vehicles, manage cross-functional teams, track risks, and report progress to stakeholders.

Lead connectivity systems integration and testing for the vehicle TCU, diagnosing cellular/WiFi/satellite issues across protocol layers. Design and execute integration and fleet-scale test plans using network emulation tools, analyze logs, debug cross-layer modem behavior, and author/verify firmware and software integration specifications to ensure robust, low-latency connectivity for autonomous vehicle operations.