Autonomous Motion Planning Engineer

Motional; Pittsburgh (Allegheny County); On-site; USD 142,000 - 190,000; Full time

Job summary

Motional is seeking an embedded trajectory optimization engineer to advance safe, comfortable autonomous vehicle motion. You will develop state-of-the-art optimization algorithms, integrate them with motion planning, and lead robust software development with modern toolchains.

Collaboration with ML, prediction, and control teams is essential to deliver integrated, production-ready solutions. We value experience in MPC, numerical optimization, and solvers; Python is a bonus, and strong

Qualifications

• 0 - 3+ years of C++ software development (educational experience working on projects, internships, PhD research also counts)
• Bachelors, Masters, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Experience with Model Predictive Control (MPC), motion planning, planning under uncertainty, vehicle dynamics and control, and simulation environments
• Understanding of numerical optimization algorithms (interior point method, sequential quadratic programming, etc)
• Experience with optimization solvers (IPOPT, Gurobi, etc)
• Past experience owning and leading technical development on features from problem formulation, algorithm design, through implementation
• Knowledge of Python is a bonus
• Strong team player with excellent communication skills

Responsibilities

• Develop state-of-the-art trajectory optimization algorithms to ensure safe and comfortable vehicle motion, and integrate with the overall motion planning architecture
• Design and build robust and scalable software that enables real on-road impact by evaluating different control techniques and motion planning algorithms
• Provides high-quality code and design reviews (C++) based on a deep understanding of the teams’ services and technologies
• Leverage modern development toolchains, including testing, simulation, and continuous integration, to enable rapid development cycles
• Understands and explains trade-offs, complex concepts to peers and leaders to drive decisions.
• Collaborate with teams working on (ML) decision/behavior planning, prediction, and vehicle control to build comprehensive and integrated solutions
• Creates project proposals that drive long-term technical roadmaps and span multiple sub-systems.
• Mentor junior team members to develop a culture of product-focused engineering, research, and development.

Skills

C++

Team player

Python

Education

Bachelors, Masters, or PhD in Robotics/CS/CE/EE

Tools

IPOPT

Gurobi

Job description

Motional is seeking an embedded trajectory optimization engineer to advance safe, comfortable autonomous vehicle motion. You will develop state-of-the-art optimization algorithms, integrate them with motion planning, and lead robust software development with modern toolchains.

Collaboration with ML, prediction, and control teams is essential to deliver integrated, production-ready solutions. We value experience in MPC, numerical optimization, and solvers; Python is a bonus, and strong