Role at a glance
- Salary
- Not Disclosed
- Location
- Korea - Seoul
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of autonomous vehicle engineering experience
- Education
- Bachelor's Degree or higher in Electronics/Electrical, Robotics, Mechatronics (or equivalent relevant experience)
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Role Summary
The Vehicle Integration Engineer will support NVIDIA's Autonomous Vehicle testing fleet and AV software development. The role integrates vehicle subsystems across OEM platforms and helps ensure vehicle and software functions succeed through testing, debugging, and issue resolution.
What You'll Do
- Integrate subsystems into customer vehicle E/E architectures and adapt systems across carlines and OEM brands.
- Analyze 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 identify root causes, and track and verify fixes.
- Lead the team in building test vehicles and define criteria for signing off vehicles to the test fleet.
- Test and track component firmware updates and debug vehicle platform issues for fleet health and consistency.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's degree or higher in Electronics/Electrical, Robotics, or Mechatronics; 5+ years of autonomous vehicle engineering experience; experience with CAN, FlexRay, automotive Ethernet, automotive sensors, hardware components, retrofitting test vehicles, technical or tooling teams, and Linux.
Required
- 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 various automotive sensors like Radar, Lidar, Cameras
- Hands on experience working on hardware components, and retrofitting test vehicles
- Experience managing technical teams or tooling teams
- Experience with Linux
Preferred
- Familiar with classical AutoSAR and adaptive AutoSAR
- Prior experience in AV technical role
- Experience with python/bash/C++
- Background with QNX
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is seeking a Vehicle Integration Engineer for the Autonomous Vehicle testing fleet. This is a key role to support our AV software development. Together with OEM partners we are bringing safety to streets at a large scale. We are widely considered to be one of the technology world’s most desirable employers, with some of the most forward-thinking people in the world working with us. With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!
What you will be doing:
Integrate a variety of subsystems into customer vehicle E/E architecture, iterate from development platform to production vehicle, adapt system to various carlines, and to different OEM brands.
Analyze complex technical issues across the stack, support function teams in debugging end-to-end function issues with deep understanding of related components. Ensure function success, and drive issues to closure.
Diagnosing software and hardware subsystems. Work with component team to root cause issues. Track and verify the fix.
Lead the team to build test vehicles, define criteria to sign-off vehicles to the test fleet. Test and track component firmware updates. Debug vehicle platform issues for fleet health and consistency.
What we need to see:
Bachelor's Degree or higher in Electronics/Electrical, Robotics, Mechatronics (or equivalent relevant experience)
5+ years of autonomous vehicle engineering experience (OEM/Tier1/StartUp).
Technically savvy, and motivated to learn new tech spanning cloud to car
Solid understanding of CAN, FlexRay, automotive Ethernet and various automotive sensors like Radar, Lidar, Cameras
Hands on experience working on hardware components, and retrofitting test vehicles
Problem solver and “Buck stops with you” leadership
Experience managing technical teams or tooling teams
Experience with Linux
Ways to stand out from the crowd:
Familiar with classical AutoSAR and adaptive AutoSAR
Prior experience in AV technical role
Experience with python/bash/C++
Background with QNX
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.