Develop algorithms for motion planning in autonomous vehicles, integrate software with perception and control components, and mentor team members.

The Principal Motion Planning Engineer will lead algorithm development for motion planning in autonomous vehicles, manage projects, and mentor team members.

Lead the research and development of algorithms for motion planning in autonomous driving, integrating predictive systems and mentoring team members.

Lead research and develop algorithms for motion planning in autonomous vehicles, integrating complex systems and mentoring junior team members.

Lead the technical vision and architecture for machine learning and data systems, overseeing scalable infrastructure and collaboration across teams.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

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.

Responsible for training and deploying ML-based models for scene understanding and behavior prediction in autonomous vehicles, working with complex driving scenes.

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

Lead a team to develop VLM/LLM data products, innovate mining strategies, manage large-scale workflows, and ensure successful project execution.

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

Develop and optimize deep learning models for trajectory generation in autonomous vehicles, focusing on planning, control, and real-time inference.

Lead the research and development of algorithms for autonomous vehicle trajectory generation, ensuring safety and performance. Collaborate with teams to integrate systems and deliver high-quality production algorithms.

Lead the On-Vehicle Visualization & Tools Team, responsible for developing and improving visualization tools for autonomy and R&D teams while managing team growth and collaborating on technical strategies.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.

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

The Senior Software Engineer will design, implement, and optimize a runtime framework for autonomous vehicles, improving simulation capabilities.

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

Lead the development of perception capabilities for autonomous vehicles, overseeing a team of 35+ engineers and managing complex technical projects.

Lead and mentor a team in developing motion planning software for autonomous vehicles, focusing on algorithms, safety, and collaboration.