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NVIDIA

Senior Technical Program Manager, Software

Posted 8 Days Ago
In-Office or Remote
3 Locations
160K-305K
Senior level
In-Office or Remote
3 Locations
160K-305K
Senior level
The Senior Technical Program Manager will lead engineering roadmaps, collaboration across teams, and ensure successful execution of AI supercomputing projects.
The summary above was generated by AI

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

The base salary range is 160,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. 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.

Top Skills

Cloud Computing
Gpu Computing
High-Performance Computing
Linux
Systems Software

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