Senior System Software Engineer – Autonomous Driving.

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.

We are looking for specialist Automotive Driving System SW Engineers based in Shanghai or Shenzhen to work closely with NVIDIA global team to develop and deliver Autonomous driving platform SW to OEMs, Tier1 and engage customer design and develop Autonomous driving ECU production.

What you’ll be doing:

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 technical issues as well as independently driving resolution across multiple teams.

You will develop and deliver software for Autonomous Driving Platform based on NVIDIA Orin SOC and next generation SOC.

Communicate readily with your peers across the organization, building relationships and collaborating effectively.

What we need to see:

Have a BS or MS or equivalent experience in EE/CS or closely related field.

6+ year of significant work and product experience.

Have a deep understanding about Linux/QNX operating system and programming languages in C++ and C.

Have experience working on sophisticated automotive or consumer embedded systems on the Linux/QNX BSP and drivers (e.g Ethernet, Camera, Serializer/Deserializer, Display, PCIe, eMMC etc).

Have virtualization/Hypervisor and camera driver development experience is a plus.

Be familiar with ARM architecture and debugging Real-time/RTOS system, safety critical systems with fast data flows over buses like PCIe/GMSL2.

Have ability to debug at board and chip level and appropriate probing hardware.

Have ability to written and oral interpersonal 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 customer projects.

Prior experience working in the following areas: ADAS and Self-Driving-Cars.

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. If you’re a creative and autonomous engineer with a candid passion for technology, we want to hear from you.

Nvidia