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    Research Engineer Intern - Control

    Plus · Santa Clara, California, United States

    rollingOn-sitePaidPosted 2026-05-22
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    About the role#

    Plus is seeking a Research Engineer Intern to join the Controls team. This role focuses on advancing autonomous truck control systems through joint lateral and longitudinal planning and modeling.

    What you'll do#

    • Generate joint lateral and longitudinal control action planning.
    • Expand the lateral nonlinear MPC to include longitudinal speed adjustment by incorporating acceleration as a decision variable.
    • Develop a combined slip tire model by leveraging longitudinal speed coupling.
    • Reallocate the longitudinal MPC to consume lateral optimized speed traces.
    • Implement iterative lateral and longitudinal control, including logic to reduce target speed and recompute commands when lateral offsets cannot be corrected due to steering rate limits.
    • Utilize existing data-driven vehicle model simulations to evaluate and deploy control strategies.

    What you'll need#

    • Proficiency in modern C++ and Python.
    • Strong academic or project background in robotics, planning, optimal control, and dynamics.
    • Experience or coursework in deep learning (DL) or reinforcement learning (RL).
    • Currently pursuing a degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or Data Science.

    Location & details#

    • Location: Santa Clara, California.
    • Modality: On-site.
    • Commitment: Full-time internship.
    • Compensation: Paid position.
    Relevant fields:Computer ScienceElectrical EngineeringMechanical EngineeringAerospace EngineeringData Science

    About Plus

    Plus develops artificial intelligence software designed for autonomous operation in factory-built trucks. Based in Santa Clara, California, the company employs between 201 and 500 people. Operations span the United States and Europe, supported by partnerships with various automotive manufacturers and logistics firms. The organization specializes in machine learning and deep learning technologies for the autonomous vehicle sector.

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