Security Intern (Winter 2027)

Kodiak Robotics

Mountain View (CA)

Presencial

USD 34.000 - 55.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Remote-friendly work environment
401k
Generous PTO policy
Life insurance
Medical (PPO/HMO/HDHP) & FSA plans
Family-friendly company events
Dog-friendly office
Employee-driven fitness classes
Beautiful facilities in Mountain View,
Free EV charging
Trivia and board game nights

Descripción de la vacante

Kodiak Robotics is seeking interns to contribute to various areas of our software stack in Mountain View, CA. You will work on production-grade C++ code and own a project that advances our autonomous trucking platform in real-world deployments.

We value a can-do attitude, quick learning, and collaboration with engineers. The internship lasts 12-16 weeks with a flexible end date to accommodate students’ needs, and includes benefits such as remote-friendly work and a supportive environment.

Formación

  • 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
  • Linux / Ubuntu / Debian experience
  • Understanding of TLS, RSA and AES algorithms
  • Knowledge of cloud computing infrastructures (AWS or GCP)
  • Understanding of TCP/UDP/PTP networking
  • Field of study: CS, EE, Automotive/ Mechanical Eng or related

Responsabilidades

  • Own a project that will advance a state-of-the-art autonomous trucking platform
  • Develop coding skills on a production-level codebase in C++
  • Collaborate daily with other engineers to solve challenging problems

Conocimientos

C++ programming
Real-time software development
Robotics sensors familiarity
Mathematics: linear algebra/calculus
Past problem solving in uncertain env.
Team collaboration

Herramientas

Git
Linux
AWS
GCP

Descripción del empleo


  • 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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