Summer 2025 Intern, Motion Planning

Posted 4 Days Ago
Be an Early Applicant
Mountain View, CA
Internship
Automotive • Robotics • Software • Transportation
The Role
As a Behavior Planning Intern, you will develop motion planning algorithms for autonomous trucks, improving navigation and behavior through hands-on projects.
Summary Generated by Built In

Kodiak Robotics, Inc. was founded in 2018 and is a leading provider of AI-powered autonomous vehicle technology committed to a safer and more efficient future for all. The company is developing an artificial intelligence (AI) powered technology stack for driverless commercial trucking applications. Kodiak’s unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that is purpose-built for perception, scalability, and maintainability. The company autonomously delivers freight daily for its commercial customers across the Sun Belt states and for Atlas Energy in the Permian Basin. Kodiak also leverages its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.


Join Kodiak as a Behavior Planning Intern! As an intern on our Motion Planning team, you will work on developing core decision-making and motion planning algorithms that drive our autonomous trucks. Intern projects may include improving strategies for navigating complex highway merges, optimizing lane change behaviors, and refining low-speed behavior in industrial operations. This role offers a hands-on opportunity to contribute to cutting-edge AV technology while gaining valuable experience in real-world autonomous driving scenarios.

In this role, you will:

  • Receive mentorship from top-level robotics engineers.
  • Advance a state-of-the-art autonomous trucking platform.
  • Deploy code on autonomous trucks operating in the real world. Gain hands-on experience with industry-standard tools and methodologies used in robotics and autonomous vehicles.
  • Strengthen your coding skills by working with a production-level codebase, with a focus on modern C++. 
  • Work in a collaborative and innovative work environment.
  • Design and implement solutions to complex robotics problems.
  • Have potential opportunities for full-time roles.

Qualifications:

  • Field(s) of study: Computer Science, Electrical Engineering, Machine Learning, Aerospace Engineering, Mechanical Engineering, or other related fields.
  • Are currently pursuing a degree at an accredited university.
  • Juniors, Seniors, or graduate students.
  • Strong C++ and Python programming skills.
  • Strong kinematics, linear algebra and calculus.
  • Ability to to solve basic optimization problems.
  • Ability to solve basic computational geometry problems.
  • Solid understanding of motion planning, decision-making, and trajectory optimization for autonomous systems.

Internship Program Details:

  • Start Date: May/June 2025.
  • Our internship program is 12-16 weeks; the end date is 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.

The monthly range for this intern position is $9,166-$10,000. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.


At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. 


In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

Top Skills

C++
Python
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The Company
HQ: Mountain View, CA
81 Employees
On-site Workplace
Year Founded: 2018

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.

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