Security Intern (Winter 2027)

Kodiak Robotics

Mountain View, CA, United States Posted October 11, 2026

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Job Description

Join our team as a Security Intern for Winter 2027. This is an exciting opportunity to work on autonomous trucks and advance a state-of-the-art autonomous trucking platform. You will develop your coding skills on a production-level codebase and collaborate with other engineers on a daily basis. The internship program lasts 12-16 weeks, with a flexible end date based on individual needs. Enjoy a remote-friendly work environment, generous PTO policy, and various benefits.

  • Participer à des projets qui avancent une plateforme de camionnage autonome de pointe.
  • Développer des compétences en programmation sur un code de production, en particulier en C++ moderne.
  • Collaborer avec d'autres ingénieurs pour résoudre des problèmes complexes sans solutions évidentes.
  • Knowledge of modern revision tracking systems (e.g. git) Experience writing real-time, resource constrained, or embedded software
  • Familiarity with LIDARs, radars, cameras, and other sensors used in robotics
  • Real time software development
  • Comfort with fundamental mathematics, linear algebra, and calculus
  • Any Red Team experience or interests
  • Basic understanding of security or cryptography fundamentals
  • Linux / Ubuntu / Debian experience
  • User level understanding of TLS, RSA and AES algorithms
  • Knowledge of modern revision tracking systems (e.g. git)
  • Understanding of network protocols such as TCP, UDP, and PTP
  • Any experience with AWS or GCP cloud computing infrastructures
  • Knowledge of the current state of robotics and/or self-driving
  • Physical AI / IoT system experience
  • Will consider graduate students at any stage of their Master's or Ph.D. studies
  • Field(s) of study: Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or other related fields
Required Skills
collaboration C++ Git software development Linear cryptography Linux TLS Amazon Web Services Google Cloud Platform electrical engineering mechanical engineering
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