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

Develop reliable Android components and user experiences for autonomous vehicle interiors, including pickup and drop-off, infotainment, displays, audio, and climate controls. Collaborate with designers, product managers, and vehicle software engineers to deliver safety-sensitive features. Lead technical designs, mentor engineers, manage the software lifecycle, and optimize performance for embedded systems.

MBA finance interns will collaborate across teams, build long-term financial models, conduct financial and external research, derive strategic insights, support business decisions, and present recommendations to senior leadership. The role requires strong financial modeling, financial statement knowledge, strategic thinking, and an MBA focused on finance, strategic management, or technology. Preferred experience includes management consulting, valuation, rideshare, automotive, autonomous vehicle, software, or technology industries.

Build and evaluate machine learning models that generate high-definition maps from raw sensor data. Develop statistical evaluation methods, scalable distributed data-processing pipelines, and backend infrastructure for global mapping. Collaborate with onboard engineering teams to improve mapping formats, manage the full modeling lifecycle, and measure system-wide impact. The role emphasizes autonomous vehicle mapping, large-scale systems, quantitative experimentation, and end-to-end software engineering ownership.

Develop software for autonomous vehicles that produces safe, smooth, and predictable driving behavior. Frame complex real-world scenarios as engineering problems, build algorithms and evaluation tools, scale solutions to large data pipelines, and optimize them for real-time operation in vehicles. The role involves collaborating across software, hardware, and systems engineering teams, with applications in motion planning, robotics, and machine-learning-based systems.

Develop software, algorithms, tools, and evaluation systems for autonomous vehicle maneuvering and motion planning. Solve complex real-world driving problems involving uncertainty and social interactions, scale solutions across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary engineering teams to ensure Waymo vehicles behave safely, smoothly, and predictably.

Develop software for autonomous vehicles that enables safe, smooth, and predictable driving behavior. Frame complex real-world problems, build algorithms and evaluation tools, scale them across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary teams on motion planning, robotics, machine learning, and autonomous driving systems.

Design autonomous vehicle test metrics, plans, and simulated scenarios for off-nominal situations; build dashboards analyzing fleet-wide fault rates; support verification and validation of fault-protection and remote-assistance behaviors; and develop Python and SQL pipelines to maintain and validate safety-critical test coverage.

The Market Operations Lead will oversee the operational performance of the Ride-hail services, ensuring quality, scalability, and reliability while leading cross-functional teams in the Bay Area.

Develop and verify depot and off-hail automation features for autonomous vehicle fleets. Responsibilities include defining requirements and system architecture, building verification and monitoring systems, qualifying new features and depots, debugging field issues, improving test coverage, and extending automation across vehicle platforms. The role requires cross-functional collaboration, data-driven problem solving, C++ code analysis, SQL querying, and dashboard creation.

Lead end-to-end actuarial analyses, including data preparation, commercial auto pricing, reserving, risk modeling, and actionable presentations. Build scalable data pipelines using R, Python, and SQL; automate workflows with AI and modern analytical tools; quantify autonomous driving risks; and collaborate with Safety, Engineering, Product, Legal, and Finance. Establish modeling standards, document processes, and mentor teammates while supporting insurance and risk-financing strategies.