Winter 2027 Intern, Data Engineering

Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.

Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.

Data Engineering Intern

We are looking for a highly skilled Data Engineering 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 possess the ability to learn quickly in a fast-paced environment.

In this role, you will:

• Optimize and maintain AuroraDB, ElasticSearch, and other data stores to ensure high availability, scalability, and performance for critical robotics and safety datasets.

• Design, build, and maintain robust data pipelines to facilitate the continuous development of our data platform, ensuring data cleanliness, reliability, and efficient ingestion.

• Explore, evaluate, and scale QuickSight and modular dashboarding frameworks/factories to streamline reporting and surface actionable insights across the organization.

Qualifications:

• Pursuing a BS, MS, or PhD in Computer Science, Data Engineering, Statistics, or a related quantitative technical field.

• Strong working knowledge of relational and/or object database design, query optimization, and schema management.

• Experience or strong familiarity with cloud-based data platforms such as AWS Aurora DB and ElasticSearch, and building associated ETL/ELT pipelines.

• Familiarity with BI tools, dashboarding frameworks, or automated reporting factories (e.g., AWS QuickSight, Kibana, or custom visualization frameworks).

• Thinking with a safety mindset and an interest in autonomous systems or robotics.

• Ability to take ownership and enjoy working collaboratively to deliver dependable data solutions.

• Experience with version control systems (e.g., Git) and modern software development workflows.

Bonus Points:

• Hands-on internship or project experience building automated data pipelines or managing cloud database infrastructure.