Winter 2027 Intern, Mission Planning

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    Kodiak

    Building the world's safest driver.

    201-500 employeesFounded 2018Mountain View, CaliforniaSoftware Development
    Actively hiringPaidVisa sponsorshipWinter 2027Software Development
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    Best applied by Sep 23

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    About the role#

    As an intern on the Mission Planning team, you will build core mission, routing, and fault management algorithms for our autonomous trucks. You will work directly with our production-level codebase and focus on modern C++ to help advance our autonomous trucking platform. This role provides the opportunity to deploy code on trucks operating in real-world scenarios while receiving mentorship from our robotics engineers.

    What you'll do#

    • Develop core mission, routing, and fault management algorithms.
    • Apply commands from human operations specialists to our fleet of self-driving trucks.
    • Improve routing through construction zones.
    • Implement safety-critical fault management policies.
    • Design and implement solutions to complex robotics problems.

    What you'll need#

    • Currently pursuing a degree in Computer Science, Electrical Engineering, Machine Learning, Aerospace Engineering, Mechanical Engineering, or a related field.
    • Junior, Senior, or graduate student status at an accredited university.
    • Strong C++ programming skills.
    • Proficiency in kinematics, linear algebra, and calculus.
    • Ability to solve basic graph search problems.

    Location & details#

    • Location: Mountain View, California.
    • Modality: On-site.
    • Term: Winter 2027 (January 2027 start).
    • Duration: 12-16 weeks.
    • Employment: Full-time, paid internship.
    • Sponsorship: Available for eligible candidates.

    About Kodiak

    Kodiak is a software development company focused on autonomous movement technology. Founded in 2018, the firm operates out of Mountain View, California. It employs 384 people and specializes in AI, logistics, and self-driving systems. The company provides solutions designed for various environments.

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