Vehicle Control Research Engineer

About the Role The Vehicle Control Research Engineer will help TuSimple improve motion control capability, simulation enhancement, and safety for autonomous trucks. What You Will Do Deliver high‑quality and reliable code for control and estimation modules on autonomous driving trucks. Develop 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. Control Research Project Examples Powertrain‑level optimal longitudinal control for improved safety and efficiency. Optimal 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 OEM and Tier‑1 supplier partners for production‑grade Level‑4 operation. Develop simulation for complex truck dynamics with high‑fidelity model structure. What You Will Need Location: Ability to work from TuSimple’s San Diego office three days a week is required. Education: At least a Bachelor’s degree. Experience: At least 4 years of directly related experience. Product‑quality code in C++ and/or Python. Knowledge and experience in convex optimization, non‑linear optimization, stochastic optimization, Markov decision process, and graph search algorithm. Experience in designing and building data pipelines. What Will Set You Apart Masters or a PhD in Computer Science, Robotics, Mechanical Engineering, Mathematics/Statistics or related fields. Autonomous vehicle industry experience is highly preferred, but not required. Advanced Driver Assisted Systems experience is also preferred. Knowledge and experience in control methods preferred, including: Model Predictive Control Robust Control Optimal Control Adaptive Control Demonstrated ability to prototype and implement controllers on physical systems is preferred. Benefits 100% employer‑paid healthcare premiums for you, your spouse or domestic partner, and dependents. Unlimited snacks, drinks, treats, fruits, meals, and more available. Monthly gym membership reimbursement. Monthly team‑building budget. Free Coursera Enterprise Account. Annual tuition reimbursement. Employer‑paid life insurance, long‑term and short‑term disability. Equal Opportunity Employer 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. Pay Transparency Individual salaries will vary within the following range based on factors such as location, business needs, and candidate’s skills, education, and experience. Salary Range

$150,000 – $180,000 USD

Our Values Partner: We share, collaborate, communicate, and work together with colleagues, customers, and partners. Persevere: We are agile, adaptable, and persist through adversity to achieve objectives and follow through our commitment. Pioneer: We innovate, take informed risks, and set the pace for autonomous freight and its network. Protect: We safeguard the company’s people, assets, reputation, partners, and how our innovations impact communities. #J-18808-Ljbffr CONTROLNET