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 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.

As a Senior Engineer for Developer Platform, you will optimize development lifecycle tools, enhance automation, and collaborate with global engineering teams to improve workflows.

Lead the development of perception capabilities for self-driving vehicles, focusing on computer vision and deep learning to enhance product impact and safety evaluation.

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.

Lead computer vision mapping projects for self-driving vehicles, develop methods for environmental monitoring, and integrate maps using LIDAR and visual data.

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

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

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.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead research and development of motion planning, trajectory generation, and control algorithms and ML models for autonomous vehicles. Architect simulation and validation scenarios to expand ODDs and ensure safety. Collaborate cross-functionally, document designs and results, and mentor junior engineers to improve system robustness and reliability.

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

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.

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.

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.

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.

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.