Control Engineer
Core
Integrate, validate, and optimize MPC-based trajectory controllers and AI software stacks on new vehicle platforms to ensure safe, reliable autonomous driving in diverse real-world conditions.
Role type
Control Engineer (Autonomous Driving)
Builds
MPC-based trajectory controllers and AI software stacks for autonomous vehicles
Domain
Autonomous driving, controls, systems integration
Deliverable
production ML models
Required skills
Control theory, Model Predictive Control (MPC), State estimation, Numerical methods, C++, Python, Real-time controller development, System validation, Simulation pipelines
Preferred skills
Road vehicle dynamics and modeling
Responsibilities
Integrate and validate AI software stack and MPC controller on customer hardware; Maintain and enhance controller performance across different vehicles; Establish control methods for ML-coupled systems; Test and optimize system behavior in challenging driving scenarios; Develop simulation and evaluation pipelines; Collaborate with cross-functional teams to resolve integration issues.
