Senior Autonomous Motion Planner

Motional; Boston, Pittsburgh, Las Vegas (MA, Allegheny County, NV); Hybrid; USD 172,000 - 229,000; Full time

Job summary

Motional is seeking researchers to advance motion planning for autonomous vehicles. You will develop and evaluate cutting-edge algorithms, build robust software, and collaborate across perception, prediction, and control teams to ensure safe, efficient routes and motions.

The role emphasizes rigorous research, high-performance coding, and mentorship, with the option for hybrid in-office work in Boston or fully remote in the U.S. context.

Qualifications

• PhD preferred in robotics or a Master's with 2+ years in robotics (AV industry preferred).
• 5+ years of research experience in robotics/motion planning with state-of-the-art contributions.
• 3+ years of C++ software development focusing on high-performance, reliable systems.
• Experience owning and leading technical development from problem formulation to deployment in production.

Responsibilities

• Lead R&D of novel motion planning algorithms for autonomous driving, including search-based, geometry-based, and probabilistic methods.
• Architect and integrate motion planning and prediction algorithms for real-world deployment.
• Design and build scalable, high-performance code for rapid prototyping and evaluation of motion planning approaches.
• Collaborate with perception and prediction upstream and trajectory optimization downstream for end-to-end performance.
• Share software practices and mentor junior team members to foster a culture of technical excellence.

Skills

C++ development

Robotics research

Education

PhD preferred in Robotics

Master's + 2+ years robotics experience

Tools

Bazel

Job description

Motional is seeking researchers to advance motion planning for autonomous vehicles. You will develop and evaluate cutting-edge algorithms, build robust software, and collaborate across perception, prediction, and control teams to ensure safe, efficient routes and motions.

The role emphasizes rigorous research, high-performance coding, and mentorship, with the option for hybrid in-office work in Boston or fully remote in the U.S. context.