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    Systems Engineering Intern

    Plus · Santa Clara, California, United States

    Summer 2026On-sitePaidPosted 2026-05-26
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    About the role#

    The Systems and Safety team at Plus is responsible for the validation of the Safety Processor, a high-availability component within the autonomous driving system that monitors for faults and arbitrates between redundant sub-systems. This internship focuses on streamlining the analysis of recorded data files and documenting evidence for system performance.

    What you'll do#

    • Automate the generation of test reports to improve efficiency.
    • Analyze Safety Processor functionalities, including redundant takeover detection, steering angle and angle rate limitations, speed limitations, and brake effort limitations.
    • Integrate analyzed results directly into the Requirements Management System, providing necessary test evidence.
    • Identify abnormal characteristics within CAN data, such as unauthorized step changes or data loss.

    What you'll need#

    • Active enrollment in a Master’s degree program in Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or Industrial Engineering.
    • Previous experience or research in autonomous driving, Advanced Driver Assistance Systems (ADAS), or robotics.
    • Proficiency in Python and C++; familiarity with Linux-based tools is preferred.
    • Strong organizational and communication skills.
    • Preferred: Working knowledge of automotive safety standards such as ISO 26262 or SOTIF, experience with vehicle-level control software, and knowledge of vehicle communication networks and protocols.

    Location & details#

    • Location: Santa Clara, California
    • Term: Summer 2026
    • Modality: On-site
    • Commitment: Full-time, paid internship
    Relevant fields:Computer EngineeringElectrical EngineeringMechanical EngineeringComputer ScienceIndustrial Engineering

    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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