Venti Technologies - Control Engineer
Requirements
• Bachelor's or Master's degree in Robotics, Control Engineering, Computer Science, Mechanical Engineering, Electrical Engineering, or a related discipline. • Around 1 year of experience in robotics, control systems, autonomous vehicles, or a similar technical field through industry, research, internships, or academic projects. • Understanding of feedback control principles, vehicle dynamics, and controller evaluation. • Experience with system modeling, system identification, or dynamic system analysis. • Familiarity with electromechanical, hydraulic, or pneumatic actuation systems. • Proficiency in modern C++ development on Linux. • Strong analytical thinking, troubleshooting ability, and willingness to learn new technologies. • Experience integrating software with drive-by-wire or embedded vehicle control systems. • Hands-on experience deploying robotic or autonomous systems outside of simulation. • Knowledge of functional safety practices, risk analysis, or control-related failure analysis. • Familiarity with advanced control techniques such as Model Predictive Control (MPC), gain scheduling, state estimation, Kalman filtering, nonlinear control, or geometric control. • Experience using simulation environments for robotics or autonomous vehicle development. • Understanding of the overall autonomous driving software stack and how control interacts with perception, localization, and planning. • SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!
Responsibilities
• Research and evaluate modern control methods applicable to autonomous driving and vehicle automation. • Contribute to design, develop, and maintain software for vehicle motion control, including steering and speed control. • Build mathematical models of vehicle behavior by characterizing steering, braking, throttle, actuator response, and system delays. • Improve controller performance through testing, tuning, and calibration across different vehicle platforms and operating conditions. • Collect and analyze vehicle test data to diagnose issues, validate controller behavior, and identify improvement opportunities. • Design and maintain safety features within the control system, including fault detection, command validation, timeout monitoring, and safe recovery strategies. • Improve the resilience of the control software against communication delays, timing variations, missing sensor data, and actuator faults.
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