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! This role requires work on weekends and/or evenings.
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)
Solve vehicle communication issues, design solutions and raise incidents where necessary
Be hands-on (incl. disassembling) in vehicles to determine root causes of reported issues
Be the “first responder” for vehicle issues
Raise suggestions for improvements to avoid reoccurring issues with the platform
What We Need To See
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
Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience
In-depth experience with ECU communication/protocols/technologies (e.g. CAN, FlexRay, Ethernet)
Experience with diverse automotive sensors incl. radars, cameras, ultrasonic and LiDAR
Must possess a good technical problem solving ability and attitude
Extended computer (ECU flashing, IP/Ethernet, Linux command line experience) and excellent communication skills required
Flexibility to work weekend shifts and/or evening shifts
Ways To Stand Out From The Crowd
Computer-savvy, ideally experience with scripting languages and Linux OS
Excellence in trouble shooting and problem solving of Automotive Electronics installations
Experience with state-ot-the-art automotive bus analyzing tools (e.g. Vector CANoe/CANalyzer)
Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Software Development
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