Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly.
This opportunity is remote friendly during COVID-19
TuSimple is the self-driving technology company with a mission to bring automation to the trucking industry. Vehicle control modules are an integral part of the algorithm stack, with significant responsibilities in the execution of intended decisions and maneuvers while maintaining safety, stability, and efficiency of the autonomous truck.
Example projects we are working on include:
Powertrain-level optimal longitudinal control for improved safety and efficiency
Benchmark-driven, robust lateral control under different vehicle configurations and disturbances
Vehicle state and constraint estimation to support multiple chassis and powertrain characteristics
Joint development of vehicle control interfaces, feedback signals, and redundancies with our OEM and Tier-1 supplier partners for production-grade Level-4 operation.
Deliver high-quality and reliable code for control and estimation modules on autonomous driving trucks
Develop the cutting edge optimal, robust, non-linear control algorithms for a complex system operating in challenging real-world scenarios
Gain experience in system modeling and identification through cascaded models of plant components and their interactions, and data-driven methods
Collaborate with other engineers to conduct system integration and tests.
Masters/PhD in Electrical Engineering, Robotics, Mechanical Engineering, Computer Science with a focus on control systems.
3+ years of professional experience working with autonomous vehicles, ADAS Model Predictive Control, Robust Control, Optimal Control, or Adaptive Control.
Demonstrated ability to prototype and implement controllers on physical systems.
Product-quality code in C++ and/or Python.
Visa sponsorship is available for this position
Opportunity for professional growth and career advancement
Competitive salary and benefits
Daily breakfast, lunch, and dinner
Shape the landscape of autonomous driving
100% Company paid Medical, Vision, and Dental insurance plan
Company 401(K) program
Company paid life insurance
Company paid education/training.
Company paid gym membership.
TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.
Brown University, California Institute of Technology, Carnegie Mellon University, Columbia University, Cornell University, Dartmouth College, Duke University, Georgia Institute of Technology, Harvard University, Harvey Mudd College, Massachusetts Institute of Technology, North Carolina State University, Northwestern University, Princeton University, Purdue University, Rice University, Rose - Hulman Institute of Technology, Stanford University, Tufts University, University of California — Berkeley, University of California — Los Angeles, University of Illinois--Urbana-Champaign, University of Maryland--College Park, University of Massachusetts--Amherst, University of Michigan--Ann Arbor, University of Notre Dame, University of Pennsylvania, University of Southern California, University of Texas Austin, University of Washington, University of Wisconsin--Madison, Williams College, Worcester Polytechnic Institute (WPI), Yale University, MIT, CMU, Waymo, Uber, Facebook, Uber, Amazon, Cruise, Tesla, Argo AI, Baidu, DIDI, Zoox, Nutonomy, Nuro, Aptiv, Pony.Ai, Kodiak, Toyota, Nissan, GM, Ford, VW, Autonomous Car, Autonomous Driving, Robotics, Artificial Intelligence, Machine Learning, Deep learning, Perception, Prediction, Planning, Control