Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

The Engineer will enhance developer productivity by creating and maintaining tools for the software development lifecycle, collaborating with teams to improve workflows, and ensuring efficient development processes.

The Senior Controls Engineer will develop motion planning and control algorithms for autonomous vehicles, focusing on safe trajectory execution and dynamics analysis to enhance vehicle performance.

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.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

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.

The Principal Engineer will lead motion planning research and development, architect software systems, and mentor a team to advance autonomous vehicle technology.

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.

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 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.

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

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

As Principal Engineer, lead the development of AI agent systems for ML infrastructure. Oversee team management, architectural vision, and technical contributions while ensuring projects meet productivity metrics.