New offer - be the first one to apply!
July 9, 2025
Senior • Hybrid • On-site • Remote
$160,000 - $304,750/yr
Santa Clara, CA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive the design process for the next generation of NVIDIA AI supercomputing systems. The TPM plays a crucial role to define roadmaps and align engineering execution across organizations building the latest AI systems at scale. This role will drive collaboration between cluster engineering and multiple hardware and software teams, helping us work together to build AI supercomputers for internal use at NVIDIA and as a model for our customers.
What you’ll be doing:
Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures
Define and deliver key engineering roadmaps to drive collaboration with cluster leads, systems engineers, and other program managers
Coordinate programs for internal and external software projects, turning future planning into smooth execution for next generation at-scale systems
Keep your finger on the pulse of short and long term bugs, feature requests and deep dives. Ensuring smooth collaboration across NVIDIA's engineering teams as we navigate complex systems and their challenges.
Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers
What we need to see:
BS in Applied Science or Engineering (or equivalent experience); Masters preferred
8+ years of overall experience
Experience with accelerated computing systems, high-performance computing, and Linux-based operating systems
A passion for understanding challenging technical problems and driving the process of finding a solution
Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams
Ways to stand out from the crowd:
Understanding of systems software, including familiarity with the layers between a piece of silicon and Linux's userspace
Experience building and using large-scale cloud computing systems
Background with working with the engineering or academic research community supporting high-performance computing or deep learning
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.