Engineering Intern

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    Verne Robotics

    Unlock human abundance by democratizing robot autonomy

    11-50 employeesFounded 2025San Francisco, CaliforniaRobotics Engineering
    Actively hiringPaidrollingRobotics Engineering
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    About the role#

    Verne Robotics is looking for an Engineering Intern to join our team in San Francisco. You will work directly with our fleet of robot arms and sensors in our lab. This role sits at the intersection of software, hardware, and robotics, where you will help prototype new capabilities and improve system reliability. You will work closely with the founding team on core engineering projects that reach our customers.

    What you'll do#

    • Design and implement manipulation algorithms on real and simulated robot platforms.
    • Run experiments on physical robot arms to improve our tele-operation and control systems.
    • Collaborate on projects across perception, control, and systems integration.
    • Build infrastructure for testing, visualization, and experiment reproducibility.
    • Handle hardware tasks such as assembling robots, swapping sensors, and maintaining our fleet.

    What you'll need#

    • Current enrollment in a BS, MS, or PhD program in Robotics, Computer Science, AI, or a related field (including Electrical, Mechanical, Biomedical, or Industrial Engineering).
    • Hands-on experience with robotic systems like Franka, UR, or Kinova, or simulators such as PyBullet or Mujoco.
    • Familiarity with modern policy learning techniques, including imitation learning, reinforcement learning, or diffusion policies.
    • Proficiency in Python and experience with PyTorch.

    Location & details#

    • Location: San Francisco, California.
    • Modality: On-site.
    • Duration: 12 weeks.
    • Compensation: $1,600 to $2,500 per week.
    • Employment: Full-time.
    • Perks include free meal vouchers, hardware access, and mentorship from the founders.

    About Verne Robotics

    Verne Robotics is a robotics engineering firm based in San Francisco. Founded in 2025, the company focuses on robot autonomy. It operates as a privately held organization with 10 employees. The team works from a single office location in California.

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