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 expert Automotive Driving SW Engineer based in Shanghai whose talents include understand the "big picture" as well as the details. The person will work closely with external and internal software groups to develop and integrate software and systems that will pull together diverse SW components as the platform of advanced autonomous driving platforms.

• You regularly will be engaged with best-in-class Autonomous Driving customers to provide customize product features, technical support and pursue system issues.

• Supply to software for AI computing platform based on NVIDIA Tegra processors.

• Be part of an internationally distributed team with remote locations in US, Europe and APAC.

What we need to see:

• Have a BS or MS in EE/CS or closely related field (or additional equivalent experience) with 5+ year of significant work and product experience.

• Strong background in the design, testing and application of automotive active safety products.

• Have a deep understanding about AUTOSAR Architecture based software development, FreeRTOS and programming languages in C++ and C

• Strong Knowledge of software development tool chain, process and test methods

• Strong Knowledge of CAN, CAN-FD, UDS, Ethernet, DoIP, SOMEIP, SPI, I2C and other MCU peripherals

• Experience in programming of microcontrollers like Infineon Aurix series, Renesas RH850 series, and ARM R52 series

• Familiar with memory, EEPROM management and IPC

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

Ways to stand out from the crowd:

• You are self-motivated and work effectively across different functional teams.

• You excellent written and oral interpersonal skills in English.

• 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.

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.