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NVIDIA has continuously reinvented itself over two decades.
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.
This is our life’s work — to amplify human creativity and intelligence.
The automotive industry isvehicle revolution, powering many key solutions for major car manufacturers.Autonomous Driving (AD).
Autonomous Driving Vehicles need a supercomputer on wheels,an AI & SW heavy computational challenge. Therean off-the-shelf platform which stands up to this challenge, so we are building our own.
and BeijingCU production.
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Engaged with outstandingAutonomous driving customers to provide customized product features, technical support for scalable autonomous driving computing platform from L2 to L5, analyze complex autonomousdrivingtechnical issues as well as independent driving resolution across multiple teams.
You will develop and deliver software forAutonomous drivingPlatform based on NVIDIAOrin/ThorSOC and next-generation SOC.
Communicate readily with your peers across the organization, building relationships and collaborating effectively.
What we need to see:
BS or MS in EE/CS orarelated field (oradditionalequivalent experience) with5+ yearsof significant work and product experience.
Deep understandingin C++ and C
Experience working on sophisticated automotive systems on theLinux/QNXKernel,BSP,drivers(e.gEthernet, Camera, Serializer/Deserializer,Display, PCIe, eMMC, UFS,etc).
Be familiar with ARM architecture.
Ability to debug at board and chip level and appropriate probing hardware.
Ability to writeand oral interpersonal skills in English.
Ways to stand out from the crowd:
You are self-motivated and work optimally across different functional teams.
Good communicationand organization skills, with a logical approach to problem solving,good timemanagement and task prioritization.
You have experience with Automotive SPICE and/or ISO26262 standard will help you to ramp up quickly in our exciting autonomous driving projects.
Prior experience working in the following areas:AutonomousDrivingor otherAutomotiveDCU/ECU.
Havingvirtualization/Hypervisoranddevicevirtualizationdevelopment experience is a plus.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are fast-growing. Ifa creative and autonomous engineer with a candid passion for technology, we want to hear from you.
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