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

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

Define verification plans and test methodologies for embedded platform components. Develop and maintain HIL/SIL test infrastructure, automate test execution and reporting, design tests to verify system functionality and performance, analyze data with Python/Matlab, and collaborate with partners to validate a safe autonomous driving platform involving sensors, compute, ECUs, and actuators.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

Lead the strategy and execution of the autonomy stack for Waabi Driver, ensuring alignment across teams, managing product lifecycles, and making data-driven decisions to commercialize autonomous features.

Develop and own requirements for autonomous vehicle motion planning and control, utilizing simulation data and establishing best practices in systems engineering.

The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

Lead cross-functional platform integration programs, mapping dependencies across hardware, embedded software, autonomy, safety, and operations. Define integrated plans, track VnV and test campaigns, surface risks with data-backed mitigation options, own executive reporting, and build scalable processes, tooling, and dependency maps to deliver milestones on time at fleet scale.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.