Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!
What you'll be doing:
Design, build, and deploy simulation focused frameworks and tooling for current and next generation autonomous vehicle development and integration testing.
Lead bring-up and integration activities as the trusted technical expert to our partners, providing domain expertise to resolve functional and simulation related issues.Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.
Collaborate with engineering and product teams across our US, APAC, and Europe locations to drive modern and creative simulation solutions for partners with accurate validation and verification.
Provide technical leadership and mentoring to multi-functional engineering teams with diverse skills and backgrounds.
What we need to see:
BS, MS or PhD degree in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
8+ years of work related experience in software development related to autonomous driving and/or simulation technologies.
Track record providing robust and efficient solutions (in car or simulation) with an emphasis on profiling, benchmarking, and evaluation for verification and validation.
Prior experience in application development and familiarity with middleware frameworks and sophisticated system-level integrations.
Excellent C/C++ development skills with good knowledge of Python.
Ability to adapt to fast paced development lifecycles, multi-functional organizations, new technologies and platforms.
Ways to stand out from the crowd:
Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and metrics driven development.
Proven expertise in developing simulation solutions and experience with diverse vehicle dynamics and sensor modalities in automotive (camera, radar, ultrasonic, GPS, IMU, LIDAR)
Understanding of NVIDIA DRIVE platform and NVIDIA GPU hardware
In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR
Strong analytical skills, strive for innovative solutions, with outstanding attention to details.
You will also be eligible for equity and benefits.
Top Skills
What We Do
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. Today, NVIDIA is increasingly known as “the AI computing company.”
