The Autonomous Vehicles Platform Team is searching for Engineer to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.
NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life's work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous, and love a challenge, we want to hear from you.
What you'll be doing:
Collaborate with software, hardware and systems engineering teams to bring up Autonomous Vehicles in terms of ethernet networking and provide technical support as needed, ensuring that NVIDIA HW and SW solutions are properly integrated and working in the development vehicles.
Create system-level requirements, verification methods, and testing criteria, and work with the software team to implement.
Prior experience with IEEE 802.3 Ethernet Networking (layer 1 physical PHY, layer 2 Switch/MAC, and layer 3 IP), such as 100BASE-T1 / 1000BASE-T1, packet switching, VLAN, IP, TCP/UDP stack, etc, is a plus.
Prior experience with Time Sensitive Networking protocols, such as Automotive PTP (Avnu gPTP, AUTOSAR Time Synchronization over Ethernet, etc) is a plus.
Opportunity to learn sub-systems of Autonomous Vehicles, such as Radar, LiDAR, Camera, GPS, etc.
Opportunity to learn different areas of expertise in Autonomous Vehicles: architecture, specification, implementation, testing, troubleshooting, etc.
Work in an environment which involves Linux, QNX RTOS, and Hypervisor.
What we need to see:
BS (or equivalent experience) or MS in CS/CE/EE
5+ years in a related field
Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization
Expert C, C++, Python programming skills
Experience in embedded system involving Linux/RTOS with exposure to bring-up and debugging of SoC-based target hardware boards
Strong debugging skills from application to kernel level and comfortable working across SW/HW domains
Device driver knowledge is a major plus
Master of software debugging tools: software debuggers, analyzers, trace loggers
Ways to stand out from the crowd:
Prior experience in Automotive field
Background with QNX RTOS and tools
Prior experience working with CAN and tools, RADAR, LiDAR is a plus
Experience with onsite and offsite customer support
NVIDIA&#8217;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 &#8212; the next era of computing &#8212; with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as "the AI computing company.