Join the NVIDIA's Solutions Engineering team that is reshaping 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 on collaborations 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:
Lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions.
Drive development of reusable application software by thoughtfully designing abstractions and prioritizing testability across bench and in-vehicle platforms.
Integrate hardware and software components efficiently and build scalable solutions alongside our partners; understand the architecture, profile, identify bottlenecks, and optimize.
Perform and leverage in-vehicle and simulation test drives for functional and performance analysis on the recorded data.
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers.
What we need to see:
Excellent C/C++ development skills with good knowledge of Python.
Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues.
5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies.
BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes.
Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms.
Strong analytical skills, strive for innovative solutions, with outstanding attention to details.
Ways to stand out from the crowd:
Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.
Software development experience on QNX or equivalent RTOS.
Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations.
Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.
In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.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.”
