Full-time (40 hours, 5 days) Research Engineers – Vehicle Control are needed in Brookshire, TX office to

• Develop optimal, robust, non-linear and model predictive control algorithms for a complex system operating in challenging real-world autonomous driving scenarios;

• Analyze the dynamics and kinematics of mechanical systems, and formulate the control problem mathematically and explore the efficient solution;

• Do modeling and system identification through processing observation and data-driven methods;

• Develop and implement automated offline data-driven performance benchmark tools;

• Deliver high-quality and reliable code for control and estimation modules on autonomous driving trucks;

• Conduct system integration and tests, and evaluate and optimize the performance of the controller.

The position requires a Master’s degree in Mechanical Engineering, Electrical Engineering, or a closely related field; with a minimum 2 years’ experience in vehicle control engineering in the autonomous vehicle industry, including the following: design and implement optimal, robust and model predictive control algorithms and corresponding applications for class 8 autonomous driving truck, build mathematical representation of vehicle dynamic system, design and build offline data-driven control performance benchmark tools; and demonstrated knowledge in control modules, optimal, robust and model predictive control algorithms, Matlab, C++, Python, ROS.

Send resumes to COS, Attn: Qian Chu, BOT AUTO TX INC, 2800 Twinwood PKWY, BLDG 22, Brookshire, TX 77423, or email to recruiting@bot.auto. Mention job code 1011 in the cover letter.