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.

The Senior Full Stack Engineer will build and enhance web visualization tools, collaborate with teams, support scalable APIs, and maintain CI/CD processes.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance 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 the development of perception capabilities for self-driving vehicles, focusing on computer vision and deep learning to enhance product impact and safety evaluation.

The Senior Engineer will evaluate ML subsystems for autonomous vehicles, setting performance metrics and ensuring safety through data analysis and coordination with teams.

The Staff Motion Planning Engineer will lead the research and development of algorithms for motion planning in autonomous vehicles, ensuring robust software integration and mentoring team members.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Design and implement automation, analytics, and release engineering to scale the autonomy stack. Build tooling and visualizations to turn high-dimensional data into actionable insights, improve CI/CD and deployment automation, and enhance virtual testing and simulation fidelity while collaborating across planning, motion, and controls teams.

The role involves deploying, optimizing, and maintaining ML-driven motion planning and control algorithms for autonomous driving, collaborating across teams to ensure reliability under performance and safety constraints.

Motional seeks a Senior Director of Engineering to lead the development of computational infrastructure for self-driving technology, managing teams and overseeing systems architecture for autonomous vehicles.

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

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

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

The Senior Software Engineer will develop metrics and tools for evaluating autonomous vehicle performance, ensuring data quality, and collaborating with multidisciplinary teams.

Seeking a Principal Engineer to lead architectural standards for Developer Platform functions, enhancing engineering efficiency and quality across the organization.

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

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