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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.
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 lane detection, object detection and classification, tracking, sensor fusion, localization, mapping, or sensor calibration.
- 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.
Qualifications:
- 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: 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.
Kodiak Robotics Mountain View, California, USA Office
1045 Terra Bella Ave, Mountain View, CA, United States, 94043
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
