Vehicle Integration Engineer, Autonomous Vehicle Test Fleet

NVIDIA
Seoul
Workplace: OnsiteFull timeFunction: Transportation & Fleet OperationsExperience: 5+ yearsEducation: bachelorsSkills: ["Problem solving","Leadership","Debugging","Root cause analysis","Driving issues to closure"]

Integrate vehicle subsystems into customer E/E architecture and iterate from development to production across carlines and OEM brands. Diagnose end-to-end software and hardware issues, root-cause problems with component teams, verify fixes, and drive them to closure. Lead test-vehicle build activities, define sign-off criteria for the test fleet, test and track firmware updates, and ensure fleet health and consistency.

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FursaFursa
NVIDIA
NVIDIA
23 hours ago

Vehicle Integration Engineer, Autonomous Vehicle Test Fleet

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Integrate vehicle subsystems into customer E/E architecture and iterate from development to production across carlines and OEM brands. Diagnose end-to-end software and hardware issues, root-cause problems with component teams, verify fixes, and drive them to closure. Lead test-vehicle build activities, define sign-off criteria for the test fleet, test and track firmware updates, and ensure fleet health and consistency.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Transportation & Fleet Operations
Seniority: Mid level

Key Responsibilities

  • •Integrate subsystems into customer vehicle E/E architecture and adapt systems across carlines and OEM brands.
  • •Analyze complex technical issues across the stack and support teams in debugging end-to-end function issues.
  • •Diagnose software and hardware subsystems, work with component teams to root cause issues, and verify fixes.
  • •Lead the team to build test vehicles and define criteria to sign-off vehicles to the test fleet.
  • •Test and track component firmware updates and debug vehicle platform issues for fleet health and consistency.

Key Requirements

  • •Bachelor's degree or higher in Electronics/Electrical, Robotics, Mechatronics (or equivalent relevant experience).
  • •5+ years of autonomous vehicle engineering experience (OEM/Tier1/Startup).
  • •Solid understanding of CAN, FlexRay, automotive Ethernet, and automotive sensors such as Radar, Lidar, and Cameras.
  • •Hands-on experience working with hardware components and retrofitting test vehicles.
  • •Experience with Linux, plus ability to demonstrate problem-solving and leadership (including managing technical teams/tooling teams).
Experience:5+ yearsAutonomous vehiclesOEMRoboticsAutonomous vehicle testing
Education:Bachelor's in Electronics/Electrical, Robotics, Mechatronics
Skills:Problem solvingLeadershipDebuggingRoot cause analysisDriving issues to closure
Tech Stack:CANFlexRayAutomotive EthernetRadarLidarCamerasLinuxAutoSARAdaptive AutoSARPythonBashC++QNXE/E architecture

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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