Why this role stands out
Gain invaluable experience in cutting-edge autonomous trucking technology with a monthly stipend of $10,000, while enjoying the flexibility of a hybrid work mode. This role is perfect for driven individuals eager to develop their C++ skills on a production-level codebase and contribute to real-world advancements in security. Apply to be part of a leading company shaping the future of transportation.
Quick overview
Job description
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.
We are looking for Interns in various areas of our software stack. 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, possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
We Are Looking For Interns Who:
- Are excited to work on autonomous trucks that are running in the real world. You will own a project that will advance a state-of-the-art autonomous trucking platform.
- Are looking to develop their coding skills on a production-level codebase. You should be comfortable reading and writing modern C++ code.
- Look forward to collaborating with other engineers on a day-to-day basis.
- Are motivated by challenging problems without clear-cut solutions.
Additional Skills That Will Help You Be Successful At Kodiak:
- Comfort with fundamental mathematics, linear algebra, and calculus
- Basic understanding of security or cryptography fundamentals
- User level understanding of TLS, RSA and AES algorithms
- Linux / Ubuntu / Debian experience
- Real time software development
- Physical AI / IoT system experience
- Any Red Team experience or interests
- Any experience with AWS or GCP cloud computing infrastructures
- Knowledge of modern revision tracking systems (e.g. git) Experience writing real-time, resource constrained, or embedded software
- Knowledge of the current state of robotics and/or self-driving
- Understanding of network protocols such as TCP, UDP, and PTP
- Familiarity with LIDARs, radars, cameras, and other sensors used in robotics
- Knowledge of modern revision tracking systems (e.g. git)
Educational Requirements:
- Field(s) of study: Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or other related fields.
- Will consider graduate students at any stage of their Master's or Ph.D. studies.
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
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