Join the NVIDIA's AV Integration Engineering team that is reshaping the future of autonomous 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. As a Principal Engineer, you will collaborate with leading automotive companies to understand their requirements and develop solutions. You will help craft the software architecture by working closely across NVIDIA internal teams and external partners developing on our autonomous platform. You will also advance and refine the overall scalability of our solution, focusing on integration and stability challenges 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, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform.
Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners.
Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies.
Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.
What we need to see:
BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience.
Understand the technological evolution in the self driving industry.
15+ years of deep hands-on technical experience.
Extensive strong technical leadership experience across large-scale organizations.
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
Broad and deep technical knowledge across software and hardware.
Proven ability to lead teams across multiple hardware, software and business groups through design and implementation.
Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways.
Ways to stand out from the crowd
Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.
Software development experience on QNX or equivalent RTOS.
Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.
Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.
Contributions to or ownership of open-source project and mentorship experience.
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.”
