NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Created with a unique legacy of innovation that is 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 requirements and trade-offs in the design of the latest AI systems at scale, focusing on all layers of the stack from the datacenter and network architecture, through the hardware design and systems software. This role will drive collaboration between system architects and engineering leaders across 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 key product requirements and specifications to drive collaboration with architecture leads, systems engineers, and other program managers
Track the development of upcoming server, networking, and storage technologies across multiple product roadmaps to feed into integrated datacenter systems
Coordinate programs for designing new cluster architectures, adapting them to changing market requirements, and translating those designs into deployed computing systems for production use
Document system designs to facilitate the teamwork of multiple engineering groups working on datacenter deployments at scale
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 (Masters preferred) in Applied Science or Engineering (or equivalent experience)
6+ 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 datacenter design, including familiarity with power and cooling technologies
Experience building and using large-scale cloud computing systems
Experience working with the engineering or academic research community supporting high-performance computing or deep learning
You will also be eligible for equity and . NVIDIA accepts applications on an ongoing basis.
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.#deeplearningSenior Technical Program Manager - At Scale Engineering • Santa Clara, CA, US
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