Intelligent Vehicle Control Researcher
Core
Lead advanced controls development for Connected and Automated Vehicles (CAVs), focusing on real-world deployment and experimental validation.
Role type
Senior IC research engineer (CAV control & optimization)
Builds
Advanced control algorithms, CAV models, traffic flow modeling tools, and simulation platforms
Domain
Transportation systems / Control theory / AI for controls
Deliverable
production ML models | product features | research
Required skills
Koopman Operator theory, model-predictive control, optimal control theory, reinforcement learning, CAV scenario generation, multi-resolution modeling, traffic flow modeling, hardware-in-the-loop testing, Simulink, Matlab, Python, C++
Preferred skills
Publication record in high-impact venues, mentoring junior researchers, strategic direction setting
Technologies
RoadRunner, SUMO, POLARIS, Simulink
Responsibilities
Develop and refine advanced control algorithms for CAVs; Design and implement CAV models and scenarios; Advance traffic flow modeling capabilities; Oversee deployment of control algorithms to experimental hardware; Collaborate with partners for tool integration; Document research outcomes and publish findings; Mentor junior staff and contribute to group strategy
Seniority
Senior, hands-on IC with mentorship
