Collaborating with your peers across various engineering groups, you will successfully launch new NVIDIA AI Supercomputing Platforms to production. These purpose-built systems bring together the full power of NVIDIA GPUs, NVIDIA NVLink and NVIDIA InfinBand networking. With its end-to-end performance and flexibility, NVIDIA HGX and DGX enables researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. We are looking for an engineering and product development leader to drive key aspects of the product engineering operations and technology for the enterprise and datacenter platforms who will bring deep knowledge and experience in GPU and/or CPU development, microarchitecture, design, architecture, as well as key technologies such as high-speed interconnects, memories (HBM, GDDR, etc.), system reliability, and server RAS features.
What you’ll be doing:
In this capacity you will eventually own a product or series of products end-to-end through the entire product lifecycle; your role would be to ensure successful production ramps are achieved working through a large matrixed team. This position could be a manager or an individual contributor role.
You'll be able to architect the test methodology for enterprise platform manufacturing tests; refine, revise and overhaul test and manufacturing flows; influence and drive software tools/infrastructure required for new product development, validation, and productization.
Opportunity to work closely with architecture, hardware, software and product engineering teams through the product development lifecycle.
Be ready to be challenged to assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.
You'll cultivate a deep understanding of NVIDIA's hardware and software architecture.
What we need to see:
Bachelors or Masters degree in engineering, computer science, or equivalent experience
5+ years experience as a people manager
10+ overall years experience with enterprise platforms, high speed interconnects, memories, board development concepts, operations and program management
Strong engineering and/or program/project management background
Track record of successfully leading complex projects with geographically diverse and large teams.
Proven self-initiative, interpersonal skills, and flexibility to adapt to new technology.
Strong problem solving and debugging expertise; track record of institutionalizing root-cause analysis.
Deep expertise in software and hardware development.
With competitive salaries and a generous benefits package, we are 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 unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!
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.
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.”
