Senior Controls Engineer - Autonomous Vehicles
Develops, simulates, and tests control algorithms for autonomous vehicles, conducts HIL testing and field evaluations, and analyzes vehicle dynamics performance. Requires 5+ years experience, Master's degree, and expertise in MATLAB/Simulink, Python, and Embedded C.
About the job
Responsibilities
- Building and using models to simulate and test control algorithms, evaluating and verifying all aspects of dynamic behavior at both component and system level
- Conceiving test scenarios and coordinating with other teams to conduct extensive software testing and field testing on autonomous vehicles
- Develop metrics and intuitive tools to evaluate vehicle dynamics controller performance
- Participate in architecture strategy & algorithm design reviews
- Conduct root-cause investigations, data processing and analysis of results from simulations and vehicle testing
Qualifications
- Advanced Degree in Mechanical Engineering, Controls Engineering, Aerospace Engineering, Applied Mathematics, Electrical Engineering, Mechatronics, or similar technical discipline. (Masters and up preferred)
- Engineering background in feedback control theory: linear system analysis (time domain and frequency domain), stability analysis, frequency response, system identification, optimal control techniques
- HIL (Hardware-in-loop) testing and signal processing experience
- High proficiency in Embedded C programming
- Strong experience with MATLAB/Simulink, & Python programming
- Excellent communication skills
- Passionate about self-driving cars and robotics
- Previous start up experience required
Preferred
- Basic understanding, and intuition for physics of multi-body systems
- Experience with coordinating, interpreting, and improving control algorithm requirements
- Experience designing test framework to ensure control algorithm compliance with requirements
- Working in a formal development environment (i.e. ISO26262)
Skills
Matlab/Simulink, Python, Embedded C, Feedback Control Theory, Hil Testing, Signal Processing, Iso26262, System Identification, Optimal Control, Simulink
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