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Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

As a Senior Backend Engineer, you'll architect and enhance the OmniTag engine for data mining, optimize multimodal data pipelines, and ensure production reliability, directly impacting the efficiency of ML workflows.

Conduct market research, develop competitor benchmarks, assist with Board materials, and support strategic product roadmaps and business plans in autonomous mobility.

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.

The Principal TPM will manage cross-functional initiatives for scaling driverless robotaxis, focusing on program execution, risk mitigation, and collaboration with various teams.

The role involves leading cross-functional teams in the development and deployment of autonomous vehicle initiatives, including managing program execution and addressing risks to achieve project goals.

Design and develop software for embedded platforms primarily for autonomous vehicle applications, leading initiatives and mentoring engineers.

Lead architectural vision and development of scalable infrastructure for self-driving technology, mentoring engineers and overseeing complex projects.

The Principal Engineer will lead the Behaviors team, focusing on ML model development for autonomous vehicle navigation, team management, and project execution.