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Nvidia Vehicle Integration Engineer - Autonomous Vehicles in Shanghai, China

NVIDIA is now looking for a vehicle integration engineer for its Autonomous Vehicle Operations team. As a vehicle integration engineer on our team, you will be working in one team with our automotive technicians and closely with senior engineers responsible for developing and maintaining our autonomous driving platform (incl. sensors like cameras, LiDAR, radar, USS, GPS, and others). You focus on reported vehicle platform issues, and you will triage those in the vehicle. You will help build, test, and maintain the system and make it work flawlessly and safely on our driving platform. You are expected to have strong communication, organizational, and analytical skills. Previous hands-on experience installing, troubleshooting, and updating (autonomous) vehicle hardware as well as in-depth experience troubleshooting automotive bus systems (e.g. CAN, Flexray, Ethernet) is a requirement. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued.

What you'll be doing:

  • Debug, maintain, and integrate systems into vehicle platforms

  • Triage reported in-vehicle issues (that could be related to sensors, vehicle ECUs, vehicle communication, data logging equipment, software, and more)

  • Be hands-on (incl. disassembling) in vehicles to determine root causes of reported issues

  • Be the “first responder” for vehicle issues, documenting and escalating them where appropriate Raise suggestions for improvements to avoid reoccurring issues with the platform

    What we need to see:

  • 3+ years of hands-on proven experience in diagnosing automotive bus systems and working on vehicles (disassembling and assembling parts of the vehicle) and the ability to demonstrate high proficiency in these areas

  • Bachelor’s degree in engineering (Automotive, IT, Electrical or equivalent experience)

  • Proficient in English (speaking and writing) and local language skills

  • In-depth experience with automotive bus systems (e.g. CAN, Flexray, Ethernet)

  • Experience with diverse automotive sensors incl. radars, cameras, ultrasonic and LiDAR

  • Strong Linux / CLI experience working with in vehicle compute systems and Must possess a good technical problem-solving ability and mechanical mindset

  • Must have senior/advanced automotive technician experience, especially in regard to in-car electronics

  • Completion of post-secondary education or equivalent experience

  • Valid driver's license with flawless driving record and Must be able to t ravel

  • Extended computer (ECU flashing, IP addressing, command line experience)customer service, problem solving, and excellent communication skills required

    Ways to stand out from the crowd:

  • Excellent problem-solving skills for on the spot resolution of customer concerns

  • Documentation of the installation procedures of cable harness installation and other Automotive Systems stands out

  • Excellence in trouble shooting and problem solving of Automotive Electronics installations

  • Experience and ability to work in a fast-paced environment with high quality performance and Experience with state-ot-the-art automotive bus analyzing tools (e.g. Vector)

  • Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations

    NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

    NVIDIA is a Learning Machine

    NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

    Learn more about NVIDIA .

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