Job description
Overview In this Motion role, you will advance production-ready autonomous vehicle capabilities by developing motion control and trajectory optimization algorithms. You will work within a cross-functional team to design robust software and evaluate control strategies for real-world impact. You will contribute to scalable, high-quality code and participate in code reviews and continuous integration. You will lead technical discussions, mentor peers, and help shape long-term roadmaps for sophisticated vehicle behavior.
Compensation / Benefitsmedical
dental
vision
401k with company match
health saving accounts
life insurance
ResponsibilitiesDevelop state-of-the-art motion control and trajectory optimization algorithms for safe vehicle motion
Build robust, scalable software enabling real-on-road impact; evaluate different control techniques and planning methods
Provide high-quality code and design reviews (C++) and contribute to testing and CI pipelines
Explain trade-offs and complex concepts to peers and leaders to drive decisions
Collaborate with ML decision/behavior planning, prediction, and vehicle control teams to build integrated solutions
Create project proposals to drive long-term technical roadmaps across sub-systems
Mentor junior team members to foster product-focused engineering, research, and development
Key requirements3+ years of C++ software development
Bachelors, Masters, or PhD degree preferred in Robotics, CS, CE, EE, or 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)
Experience with optimization solvers (IPOPT, Gurobi)
Past experience owning and leading technical development on features from problem formulation through implementation
Knowledge of Python is a bonus
Collaboration with cross-functional teams
Ability to explain complex concepts clearly
Mentorship and leadership
MPC and motion planning
Planning under uncertainty
Vehicle dynamics and control
Worksite address
Pittsburgh, PA, 15201, US
Who can apply
Review the original listing for location, eligibility and application requirements.