Develop algorithms for autonomous driving and create software for safe and intuitive motion planning. Collaborate with perception and control components, and mentor team members.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

The role involves developing ML algorithms for autonomous driving, including training models, evaluating performance, and improving behavioral models.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

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.

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.

The Performance Analysis Engineer will enhance system quality for autonomous vehicles through analysis, validation, and collaboration with software teams. Responsibilities include performing root cause analysis, maintaining safety standards, and documentation while optimizing testing processes.

Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

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

The Senior Software Engineer will design, build, and maintain data infrastructure and processing systems, ensuring robust data pipelines and collaborating with stakeholders on data discovery and lineage initiatives.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.