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    Systems Engineering Intern

    Plus · Santa Clara, California, United States

    Fall 2026On-sitePaidPosted 2026-05-27
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    About the role#

    This Systems Engineering internship focuses on end-to-end ADAS and AV feature engineering for Class 8 semi-trucks. You will support the Safety and Systems team by working across the full Automotive Engineering V-Cycle, covering everything from initial requirements development to final verification and validation of driving automation features.

    What you'll do#

    • Import decision logic trees and requirements management sets into the internal tool.
    • Integrate a representative set of legal standards into the developed tool.
    • Execute cross-functional tasks spanning the complete Automotive Engineering V-Cycle for driving automation features.

    What you'll need#

    • Active enrollment in a Master’s degree program in Systems Engineering or a related engineering field.
    • Prior 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 but not required.
    • Strong organizational and communication skills.
    • Preferred: Knowledge of automotive safety standards (such as ISO 26262 or SOTIF), vehicle-level control software, and vehicle communication networks or protocols.

    Location & details#

    • Location: Santa Clara, California, United States.
    • Term: Fall 2026.
    • Modality: On-site.
    • Employment type: Full-time, paid internship.
    • Note: Sponsorship is not available for this position.
    Relevant fields:Computer EngineeringElectrical EngineeringMechanical EngineeringComputer ScienceData 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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