Sr Staff Vehicle Controls Engineer
- Define and lead architecture and development of vehicle control systems including motion management, stability control, and related vehicle control functions.
- Own system-level control strategy and interface definition across controls, firmware, electrical, and vehicle domains.
- Develop and guide control algorithms and state estimators for vehicle control applications.
- Define handling metrics, objective maneuvers, and performance evaluation methodologies.
- Build and maintain high-fidelity simulation models to validate estimators, observers, and control solutions.
- Guide development of state estimation and sensor fusion approaches supporting vehicle controls (e.g., IMU, GPS, WSS integration).
- Define control architecture for distributed or multi-controller systems and ensure scalability across programs.
- Identify technical risks early and drive mitigation strategies across programs.
- Drive system-level integration and issue resolution across software, firmware, and vehicle domains.
- Provide technical leadership and mentorship across the controls team, reviewing architecture and algorithm design.
- Drive continuous improvement of controls development workflows, tools, and automation.
- Masters or PhD in Controls, Electrical, Mechanical Engineering, Robotics, or related field.
- Proficiency in MATLAB/Simulink, including model-based design, Stateflow, and development of automation scripts.
- Expertise in control theory and modern control methods, including MPC and LQR, with a deep background in system modeling, system identification, and state estimation techniques for dynamic systems.
- Experience developing and validating control algorithms through simulation and in-vehicle or dyno testing.
- Working knowledge of vehicle dynamics fundamentals and their interaction with control system design.
- Familiarity with embedded automotive software workflows and real-time control implementation.
- Experience with advanced control approaches such as adaptive or robust control applied to nonlinear systems.
- Real-time embedded systems and/or sensor fusion background.
- Experience with automotive communication networks (e.g., CAN, etherCAT) and tools such as Vector CANalyzer or CANape.
- Familiarity with version-control and CI tools (e.g., Git, Jenkins).
- Experience applying system identification or estimation techniques in production control systems.
- Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options.
- One Medical membership and dedicated insurance advocates.
- Rich fertility and family building benefits with Progyny.
- Flexible time off.
- 401(k) match.
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