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 is at disruption & NVIDIA is at the forefront of the autonomous driving vehicle revolution, powering many key solutions for major car manufacturers. We are engaged in the key areas of automotive business where visual computing & AI matters for Autonomous Driving (AD). Autonomous Driving Vehicles need a supercomputer on wheels, it's an AI & SW heavy computational challenge. There isn't an off-the-shelf platform which stands up to this challenge, so we are building our own.
What you'll be doing:
We are looking for specialist Automotive System SW Engineers based in Shanghai and Beijing to work closely with NVIDIA global team to develop platform SW to OEMs, Tier1 and engage customer design and develop Autonomous driving DCU/ECU production.
Bring extensive development experience and a passion for innovation.
Engaged with outstanding Autonomous driving customers to provide customized product features, technical support for scalable autonomous driving computing platform from L2 to L5, analyze complex autonomous driving technical issues as well as independent driving resolution across multiple teams.
You will develop and deliver software for Autonomous driving Platform based on NVIDIA Orin/Thor SOC 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 or a related field (or additional equivalent experience) with 5+ years of significant work and product experience.
Deep understanding of Linux/QNX operating system and programming languages in C++ and C
Experience working on sophisticated automotive systems on the Linux/QNX Kernel, BSP, drivers (e.g Ethernet, Camera, Serializer/Deserializer, Display, PCIe, eMMC, UFS, etc). Having virtualization/Hypervisor and device virtualization development experience is a plus.
Familiar with ARM architecture and debugging Linux/QNX system performance and stability issues.
Ability to debug at board and chip level and appropriate probing hardware.
Ability to write and oral skills in English.
Ways to stand out from the crowd:
You are self-motivated and work optimally across different functional teams.
Good communication and organization skills, with a logical approach to problem solving, good time management 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: Autonomous Driving or other Automotive DCU/ECU.
You are dedicated and able to work with a minimum of supervision.
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.
Last updated: 23 hours ago
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