Security Intern (Winter 2027)

  • 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
  • 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
  • Our internship program is 12-16 weeks; the end date is flexible based on individual needs

Benefits

  • Remote-friendly work environment
  • 401k
  • Generous PTO policy
  • Life insurance
  • Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
  • Family-friendly company events
  • Dog-friendly office
  • Employee-driven fitness classes
  • Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
  • Free EV charging
  • Trivia and board game nights

Knowledge of modern revision tracking systems (e.g. git) Experience writing real-time, resource constrained, or embedded softwareFamiliarity with LIDARs, radars, cameras, and other sensors used in roboticsReal time software developmentComfort with fundamental mathematics, linear algebra, and calculusAny Red Team experience or interestsBasic understanding of security or cryptography fundamentalsLinux / Ubuntu / Debian experienceUser level understanding of TLS, RSA and AES algorithmsKnowledge of modern revision tracking systems (e.g. git)Understanding of network protocols such as TCP, UDP, and PTPAny experience with AWS or GCP cloud computing infrastructuresKnowledge of the current state of robotics and/or self-drivingPhysical AI / IoT system experienceWill consider graduate students at any stage of their Master's or Ph.D. studiesField(s) of study: Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or other related fields

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