About the role#
Kodiak is looking for a Simulation Intern to help solve real-world robotics problems. You will join our team to advance our autonomous trucking platform. This role involves working on autonomous trucks that operate in the real world. You will work alongside other engineers on a daily basis.
What you'll do#
- Solve complex robotics problems.
- Collaborate with engineers on day-to-day tasks.
- Advance our autonomous trucking platform.
- Write and improve code within a production-level self-driving codebase.
- Work on autonomous trucks deployed in real-world environments.
What you'll need#
- Current pursuit of a degree in Computer Science, Electrical Engineering, Aerospace Engineering, or Mechanical Engineering at an accredited university.
- Experience working with C++ codebases.
- Knowledge of robotics fundamentals.
- Experience with high-fidelity simulation frameworks.
- Motivation to solve challenging problems that lack clear-cut solutions.
Location & details#
- Location: Mountain View, California.
- Term: Winter 2027 (January start).
- Duration: 12 to 16 weeks.
- Modality: On-site.
- Employment: Full-time and paid position.
- 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.
How to get in at Kodiak
Applying early to Kodiak gives you a significant advantage because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can be among the first to submit your materials. This timing often determines whether your resume is actually read. You should also look for the recruiters behind the company's roles to reach out directly. Intern Insider surfaces these contacts so you can ask about the role or a referral, which often improves your response rates compared to submitting into a general queue.
