NVIDIA is now looking for a vehicle integration engineer for its Autonomous Vehicle Operations team. As such, 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).
We 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 encouraged to have strong communication, interpersonal, and analytical skills. Previous hands-on experience installing, fixing, and updating (autonomous) vehicle hardware as well as in-depth experience fixing automotive bus systems (e.g. CAN, 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:
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Debug/maintain and integrate systems into vehicle platforms
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Triage reported in-vehicle issues (that could be related to sensors, vehicle ECUs, vehicle communication, data logging equipment, software and more)
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Solve vehicle communication issues, design solutions and raise incidents where necessary
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Be hands-on (incl. disassembling) in vehicles to determine root causes of reported issues
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Be the “first responder” for vehicle issues
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Raise suggestions for improvements to avoid reoccurring issues with the platform
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This position requires the flexibility to work several different shifts as needed - Day Shift (9am-6pm), Night Shift (2pm-11pm), or weekend days (Tues-Sat or Sun-Thurs).
What we need to see:
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Hands-on 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
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5+ Years of Experience in the relevant industry
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Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience
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In-depth experience with ECU communication/protocols/technologies (e.g. CAN, FlexRay, Ethernet)
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Experience with diverse automotive sensors incl. radars, cameras, ultrasonic and LiDAR
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Must possess a good technical problem solving ability and attitude
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Extended computer (ECU flashing, IP/Ethernet, Linux command line experience) and excellent communication skills required
Ways to stand out from the crowd:
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Computer-savvy, ideally experience with scripting languages and Linux OS
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Excellence in trouble shooting and problem solving of Automotive Electronics installations
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Experience with state-of-the-art automotive bus analyzing tools (e.g. Vector CANoe/CANalyzer)
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Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
The base salary range is 132,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”