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Salary: USD 225,000 - 275,000 / annual
ALSO is an electric mobility company building vertically integrated, small EVs designed to address global mobility challenges. The company is seeking a Staff Vehicle Dynamics Controls Engineer to develop and calibrate world-class stability and traction control software for the next generation of vehicles.
In this role, you will own the development and calibration of steering, stability, and traction control algorithms, working closely with cross-functional partners across controls, embedded software, and test and validation teams. You will take features through the complete software development lifecycle from concept and modeling through calibration, validation, and release.
Key responsibilities include:
- Develop and calibrate steering, stability, and/or traction control algorithms
- Define handling metrics and objective maneuvers; support data analysis and pass/fail evaluation
- Build, integrate, and test estimation and control algorithms for vehicle dynamics
- Develop and execute test cases both in-vehicle and in simulation
- Develop and maintain simulation models to validate estimators and control solutions
- Develop high-fidelity, multi-body plant models using Simscape, MSC Adams, CarSim/TruckSim, or similar tools
- Build closed-loop virtual simulation environments to design and test motion-planning and trajectory-generation algorithms
- Identify, track, and troubleshoot software issues using vehicle and dyno logs
- Drive system-level integration issue resolution across software, firmware, and vehicle domains
REQUIREMENTS:
- Master's or PhD in Controls, Electrical, Mechanical Engineering, or related field
- Proficiency in MATLAB/Simulink, including model-based design, Stateflow, and automation scripts
- Strong understanding of vehicle dynamics fundamentals (understeer/oversteer, tire dynamics)
- Direct development and calibration experience in one or more of: Traction Control, VDC/ESP, ABS, AWD, Torque Vectoring, or Electronic Limited Slip Differential
- Experience developing and validating control algorithms through simulation and in-vehicle or dyno testing
- Familiarity with embedded automotive software workflows
- Experience with state estimation techniques and real-time embedded systems or sensor fusion (observers, Kalman filters)
- Experience with automotive communication networks (CAN, EtherCAT) and tools such as Vector CANalyzer or CANape
- Familiarity with version-control and CI tools (Git, Jenkins)
- Background in adaptive or robust control and/or system identification
