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.
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.
• Familiarity with infrastructure-as-code or automated data integration frameworks.
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
Skills Required
- Pursuing a BS, MS, or PhD in Computer Science, Data Engineering, Statistics, or a related quantitative technical field
- Knowledge of relational and/or object database design, query optimization, and schema management
- Experience or familiarity with AWS AuroraDB, Elasticsearch, and associated ETL/ELT pipelines
- Familiarity with BI tools, dashboarding frameworks, or automated reporting factories such as AWS QuickSight, Kibana, or custom visualization frameworks
- Interest in autonomous systems or robotics and a safety-focused mindset
- Ability to take ownership and collaborate effectively
- Experience with version control systems such as Git and modern software development workflows
- Hands-on internship or project experience building automated data pipelines or managing cloud database infrastructure
- Familiarity with infrastructure-as-code or automated data integration frameworks
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.
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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.
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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.
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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
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.
