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 Perception Intern to join us and solve real-world robotics problems.
In this role, you will:
- Be responsible for designing perception algorithms and implementing them in robust, efficient, and well-tested C++ code.
- Solve real-world perception challenges such as object detection and classification, multi-object tracking, sensor fusion, and scene estimation.
- Integrate both novel and well-established techniques such as deep neural networks, decision trees, Kalman and particle filters, or point cloud processing on camera, laser, radar, and ultrasound data.
- Collaborate closely with other experts on the team, including the AI, planning, and systems engineering teams.
What you’ll bring:
- Strong technical background. You are currently pursuing a MS or PhD and have experience designing and implementing perception algorithms; exceptional candidates pursuing a BS considered.
- You are a skilled software engineer with experience in C++ and strong problem-solving skills.
- You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
- A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
- Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
- Hands on. You dig deep into important details such as the sensor driver if it improves the overall system.
- You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
- Great communicator. You have experience writing clear, concise, and detailed documentation.
Internship Program Details:
- Start Date: September 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.
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.
Similar Jobs
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.
