Top Tech Jobs & Startup Jobs in Boston, MA

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.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

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.

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