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

Develop signals to measure the performance of the Waymo driver, analyze data, improve metric quality, and collaborate on evaluation products for autonomous driving software.

Lead cross-functional systems engineering for new autonomous vehicle products: define requirements, perform trade studies, develop verification strategies, innovate hardware/software integration solutions, and define concepts of operations through product lifecycle to deployment.

Lead development of evaluation methodologies and KPIs for Waymo's behavior evaluation portfolio. Conduct deep-dive analyses, improve metrics, sampling and inference, and partner with product and engineering to build scalable monitoring and evaluation solutions that inform launch decisions and drive continuous improvement.

Lead the development of AI/ML infrastructure for simulations. Collaborate on realism models, scale distributed systems, and ensure alignment with business goals.

You will lead and manage a team of engineers developing machine learning solutions for perception product challenges in autonomous driving.

Architect and implement scalable, maintainable testing systems and APIs for autonomous vehicle collision avoidance. Integrate and validate simulation technologies, build automation and test-quality tools, establish simulation partnerships, and mentor junior engineers.

The Staff Software Engineer will lead technical initiatives, define roadmaps, manage performance, and collaborate across teams while overseeing product development.

Develop and productionize ML models for assessing autonomous vehicle behavior, build ML infrastructure, and collaborate across teams for deployment.

The Senior Software Engineer develops methodologies to evaluate simulation realism, builds scalable data processing pipelines, and collaborates with teams to enhance simulation fidelity for autonomous vehicles.

Design, build, and deploy production-grade agentic AI systems and scalable evaluation frameworks. Develop automated metrics to measure accuracy, safety, and reliability of non-deterministic agents. Automate and scale evaluation infrastructure to improve characterization and assessment of onboard autonomous driving software.