This position will be remote.

Role Responsibilities

• Design and implement the core algorithms in autonomous vehicle control; design and test vehicle dynamic models and estimators
• Formulate ill-defined problems with data-driven approach for self-driving truck solutions
• Build benchmarks with proper methodology to test the algorithms
• Able to work independently with minimal supervision and deliver high-quality and reliable code for real-time application in a timely manner
• Closely collaborate with other teams to conduct system design, integration, and tests

Experience & Skills Required

• Enrolled in a M.S./Ph.D. program in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or equivalent discipline with the primary focus on control systems.
• Solid knowledge and proven practical experience in one or more of the following fields: control theory, vehicle dynamics, control system design, signal processing, dynamic system modeling, and hands-on experience in applying these disciplines to real-world systems
• Strong coding skills in Python or C/C++
• Experience with powertrain and fuel economy

Preferred Skills and Experience

• Publications in related conferences and/or journals
• 1-2 years academic or industrial experience in Vehicle Control, Mobile Robotics, or Motion/Path Planning

Intern Perks

• Work with world-class AI Engineers
• Shape the landscape of autonomous driving
• Work on significantly important and mission-critical projects
• Extensive individual support through TuSimple’s Mentorship Program
• Competitive salary
• High full-time employment return rates after completion of Internship Program 
• Gym membership reimbursement
• Monthly team building budget
• Onsite Perks (These perks will only be applicable if the internship is onsite)
• Breakfast, lunch, and dinner are served every day
• Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more