Winter 2027 Intern, Controls

Posted 7 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
10K-10K Annually
Internship
Automotive • Robotics • Software • Transportation
The Role
Develop mission planning, routing, and safety-critical fault management algorithms for autonomous trucks. Interns will deploy modern C++ code to real-world vehicles, solve complex robotics problems, improve routing through construction zones, and collaborate with operations, offboard, and systems teams under mentorship from robotics engineers.
Summary Generated by Built In

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 Controls 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.

In this role, you will:

  • Improve the performance of self-driving trucks!
  • Develop your coding skills on a production-level codebase.
  • Read and write modern C++.
  • Collaborate with other engineers daily.
  • Help advance our state-of-the-art autonomous trucking platform.

What you’ll bring:

  • 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.
  • Are excited to work on autonomous trucks that are running in the real world. 
  • Knowledge of controls fundamentals.
  • Expertise with vehicle dynamics and modeling.
  • Strong C++ software development skills.
  • Knowledge of modern revision tracking systems (e.g. git).

Bonus point if you have:

  • Facility with embedded systems (e.g., CAN).
  • Experience with safety-critical systems.
  • Knowledge of systems engineering practices.
Internship Program Details:
  • Start Date: January 2027
  • 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 pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range
$10,000$10,000 USD
 
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.
 
We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact [email protected] with "Separate Review Request" in the email subject line.

Skills Required

  • Currently pursuing a degree at an accredited university
  • Studying Computer Science, Electrical Engineering, Machine Learning, Aerospace Engineering, Mechanical Engineering, or a related field
  • Currently a junior, senior, or graduate student
  • Strong C++ programming skills
  • Strong knowledge of kinematics, linear algebra, and calculus
  • Ability to solve basic graph search problems
  • Ability to collaborate with offboard, operations, and systems teams

Kodiak Robotics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kodiak Robotics and has not been reviewed or approved by Kodiak Robotics.

  • Fair & Transparent Compensation Pay is considered market-competitive for core engineering roles, with role postings indicating strong senior bands and offers aligned to autonomy peers. Salary ranges visible on listings reinforce competitiveness for experienced technical hires.
  • Equity Value & Accessibility Equity grants are commonly included with standard multi‑year vesting, and listings frequently note salary plus bonus and equity as part of offers. This makes ownership a regular component of total rewards for technical hires.
  • Healthcare Strength Health coverage includes medical, dental, and vision alongside life and short‑/long‑term disability, with FSA/HSA options available. Wellness partners such as mental‑health and primary‑care services are highlighted alongside core plans.

Kodiak Robotics Insights

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The Company
HQ: Mountain View, CA
81 Employees
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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