About the role#
Kodiak is looking for a Controls Intern for the Winter 2027 term. You will join our team in Mountain View to work on our autonomous trucking platform. This role involves direct collaboration with robotics engineers to solve complex technical problems and deploy code to trucks operating in the real world.
What you'll do#
- Receive mentorship from experienced robotics engineers.
- Advance our autonomous trucking platform.
- Design and implement solutions to complex robotics problems.
- Deploy code on autonomous trucks operating in real-world scenarios.
- Work in a collaborative environment.
What you'll need#
- Currently pursuing a degree at an accredited university.
- Status as a Junior, Senior, or graduate student.
- Field of study in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering.
- Strong C++ programming skills.
- Proficiency in kinematics, linear algebra, and calculus.
- Ability to solve basic graph search problems.
Location & details#
- Location: Mountain View, California.
- Term: Winter 2027.
- Modality: On-site.
- Employment type: Full-time.
- Sponsorship: Available for eligible candidates.
- Compensation: Paid position.
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.
