Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA
Develop clean and extensible software for the perception and prediction modules in autonomous driving systems. Collaborate with deep learning experts to optimize GPU utilization and port algorithms to GPU.
As a Principal Motion Planning Engineer, you will be responsible for developing motion control and trajectory optimization algorithms for autonomous vehicles. This includes integrating and evaluating different algorithms, designing robust and scalable software, and collaborating with other teams.
Working with software and system teams to lead the AUTOSAR development workflow including system description, development of components, integration of components to the system, deployment on target hardware, debugging using tools for embedded systems.
Lead the design and development of mapping and localization software for autonomous driving. Solve complex challenges, develop scalable software, provide technical leadership, and collaborate with experts across autonomy.
As a Principal Team Lead - Controls Embedded Software, you will be leading and growing a team to deliver autonomous driving vehicle control systems. You will provide technical leadership, oversee the development of control components, collaborate with partnering teams, and mentor team members. The ideal candidate has experience leading teams, implementing vehicle controllers, and expertise in embedded software development.
Lead and grow an Embedded Software team to deliver embedded software for autonomous driving vehicles. Provide technical leadership, oversee development and optimization of platform components, and collaborate with partnering teams.
Lead and grow an Embedded Software team to deliver embedded software for autonomous driving vehicles. Provide technical leadership and oversee the development of critical platform control and monitoring components.
Apply robotics and software development skills for autonomous vehicles. Conduct research, design algorithms, and implement motion planning for safe and comfortable autonomous vehicle behaviors.
Support standardization of metrics used in performance evaluation for AV Capabilities and analyze large scale testing data.
Develop clean and extensible C++ software for autonomous driving systems, collaborate with deep learning experts, optimize GPU resources, and teach software development practices.
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