Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
We are looking for a highly skilled Simulation Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and to possess the ability to learn quickly within a fast-paced environment.
We are looking for Interns who:
- Are excited to work on autonomous trucks that are running in the real world. Your work will help advance the state-of-the-art autonomous trucking platform.
- Have experience working C++ codebases and are looking to further develop their coding skills on a production-level codebase in self-driving.
- Look forward to collaborating with other engineers on a day-to-day basis.
- Are motivated by challenging problems without clear-cut solutions.
Bonus points for:
- Experience with modern dev-ops.
- Experience working within high-fidelity simulation frameworks.
- Knowledge of robotics fundamentals.
- Knowledge of modern revision tracking systems (e.g. git).
Educational Requirement:
- Field(s) of study: Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering or other related fields.
- Are currently pursuing a degree at an accredited university.
- Juniors, Seniors, or graduate students
Internship Program Details:
- Start Date: June 2026.
- Our internship program is 12-16 weeks, end date us flexible based on individual needs.
- Location: Mountain View, CA.
- Housing: interns are responsible for housing
What We Offer:
- A fast-paced environment where we work with talented, committed, and supportive teammates.
- Competitive pay.
- Excellent medical, dental, and vision benefits.
- A beautiful facility in Mountain View.
- We love our dogs, so we are a dog-friendly office!
- Free catered lunch.
Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.
Top Skills
What We Do
Kodiak Robotics is an autonomous technology company redefining the long-haul trucking industry.
We believe self-driving trucks will be the first economically viable application of autonomous vehicle technology. We founded Kodiak in the spring of 2018 to make that belief a reality.
Safety is our top priority. We are taking a safe and responsible approach to developing and testing our technology.
We are proud to work with some of the best in the business. We’ve built a world class team of technologists from leading autonomous driving programs who know the industry inside and out. Our combined experience and commitment to the vision will allow us to put self-driving technology on the road in the safest and most effective way.
