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

Lead the architecture and technical strategy for high-fidelity machine learning perception models powering autonomous vehicle simulation ground truth. Build scalable foundation-model systems, optimize inference across petabyte-scale datasets, define quality and coverage roadmaps, align cross-functional stakeholders, and mentor perception engineers. The role requires deep expertise in computer vision, 3D perception, multimodal models, ML infrastructure, and production-scale inference.

Build and maintain data science models and quantitative measurement frameworks to guide infrastructure decisions (chargers, parking, depots). Analyze infra efficiency and identify improvements. Collaborate cross-functionally with Supply Operations, Product, and Engineering to incorporate business context into model-driven decisions supporting expansion to new territories and cities.

Build and deploy machine learning models for Waymo’s marketplace, including conversion, wait-time, retention, demand forecasting, pricing, matching, and vehicle positioning models. Apply reinforcement learning, design and evaluate experiments, collaborate with Engineering and Product, and present data-driven recommendations to leadership.

Research and implement machine learning perception solutions for autonomous driving in weather and degraded-road conditions. Develop models for data-scarce scenarios, evaluate ML systems, and collaborate with onboard software, planning, and control teams. The role involves implementing algorithms from academic papers and potentially working with computer vision, computational geometry, real-time robotics, and vision-language models.

Lead efficiency efforts across Waymo’s Simulator software stack, establishing architecture improvements, performance frameworks, and multi-quarter technical roadmaps. Optimize simulation throughput, latency, and resource utilization across CPU, GPU, and TPU infrastructure. Partner with evaluation and infrastructure teams to resolve performance bottlenecks, develop large-scale evaluation and debugging processes, and guide cross-functional engineering initiatives.

Lead software engineering for autonomous vehicle pick-up and drop-off behaviors. Design cross-component solutions, build quantitative on-road evaluation methods, develop foundational frameworks, analyze large datasets, collaborate with product and onboard teams, mentor engineers, and address challenging long-tail driving scenarios. The role requires substantial complex-systems engineering and management experience, with preferred expertise in autonomous vehicles, robotics, and production machine learning.

Counsel, IP will build and manage Waymo’s global patent portfolio across autonomous driving technologies. Responsibilities include patent harvesting, prosecution, portfolio analysis, IP counseling, transactional IP terms, public disclosure review, confidentiality protection, licensing and acquisition evaluation, and management of outside patent counsel. The role advises engineering, product, research, business, supplier, partner, and academic teams while supporting strategic intellectual property objectives.

Leads the multi-year vision, strategy, and roadmap for robotic depot automation, including autonomous vehicle charging, cleaning, and inspection. Defines requirements across autonomous driving, fleet orchestration, and robotics hardware; aligns senior leaders; guides prototype-to-production deployments; develops rollout plans; and shapes vehicle platforms and depot infrastructure for zero-touch operations.

Lead Waymo’s People Strategy portfolio, including go-to-market planning, program launches, change management, AI adoption, OKRs, and product portfolio decisions. Build scalable People infrastructure, drive cross-functional initiatives from launch through adoption, assess program effectiveness, and advise senior leaders. The role requires independent judgment, strong relationship management, and discretion when handling sensitive topics. It is hybrid in Mountain View or San Francisco, with travel up to 25%.

Leads Waymo’s People Strategy priorities, including international expansion, market-entry compliance, entity setup, staffing models, workforce planning, and location strategy. Partners with Finance, business leaders, and cross-functional teams to develop headcount models, clarify ambiguous growth challenges, and deliver recommendations to senior executives. Requires independent judgment, discretion, executive influence, and management of multiple high-impact programs across geographies.