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Kodiak

Vehicle Integration Engineer

Mountain View, CAFrom $170kmidAdded today

About this role

Kodiak Robotics seeks a Vehicle Integration Engineer to lead system-level integration of autonomous vehicle platforms from concept through deployment. You'll coordinate hardware, electrical, and manufacturing teams to bring next-generation autonomous trucks to life, managing architecture definition, build-up, validation, and testing.

What you'll do

  • Lead system-level integration of sensors, compute, actuation, and vehicle systems for new autonomous platforms
  • Drive full integration lifecycle including architecture, build planning, bring-up, validation, and sign-off
  • Develop and execute structured test plans to validate platform functionality, performance, and reliability
  • Coordinate cross-functional build events and integration activities with Mechanical, Electrical, Manufacturing, and Systems teams
  • Provide design-for-manufacturability and design-for-test feedback to ensure scalability and quality
  • Identify, triage, and resolve integration issues through systematic debugging and root cause analysis

What they're looking for

  • System-level integration and architecture design
  • Automotive electronics and communication protocols (CAN, Ethernet)
  • Python or MATLAB for scripting and data analysis
  • CAD software (SolidWorks)
  • Linux-based systems and computer networking
  • Test planning and validation methodology
  • Cross-functional leadership and technical communication
  • Hands-on hardware troubleshooting and debugging
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Kodiak

Kodiak builds autonomous trucking systems and software that enable self-driving vehicles for commercial transportation. The company is hiring engineers across verification & validation, vehicle integration, behavior planning, sensor hardware, and manufacturing quality to develop and deploy its autonomous driving technology.

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Likely interview questions

  • Describe your experience leading a new platform integration program from early development through production validation. What were the key challenges and how did you address them?
  • How do you approach debugging complex system-level integration issues across multiple subsystems and teams?
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