Senior Technical Product Manager, GPU Programming Model - CUDA

For over a decade, NVIDIA's accelerated computing platform CUDA has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today the accelerated computing ecosystem is rapidly evolving and requires software compilation technologies that rise to the demands of the world-changing innovation accelerating around us.

At the core of this movement lies the software ecosystem that enables developers to invent and build applications to investigate and solve increasingly complex problems. We are looking for a Senior Technical Product Manager to take the lead on how these complex applications are developed and deployed in the world’s most advanced data centers, helping craft technologies that allow our customers to easily develop applications using the world’s most advanced tensor operators. As a CUDA Product Manager, you’ll work with developers and NVIDIA’s world-leading engineering teams on requirements for MLIR-based application abstraction, tile-based programming models for tensor operations, engage with ISVs, and help to plan and prioritize future development and investment in both hardware and software.

What You'll Be Doing:

• Define and Prove – You will bring together insight and build market analysis that provides the data to enter or change new markets through a clear value proposition for your product

• Market Intelligence – Understand your developers and further their needs through roadmaps and priority setting

• Build and Deliver - Work closely with engineering to set requirements and priorities

• Sense and Respond - Engage customers, present at conferences, understand product quality, and monitor critical bugs

• Product Launches – Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR, Sales, etc.

• Asset Creation – Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition.

What We Need To See:

• Masters in Computer Science, Electrical Engineer, Applied Mathematics, or related engineering field (Ph.D. preferred) or equivalent experience

• Experience and familiarity with scientific computing and AI applications

• Relevant experience in a technical product leadership role at a technology company

• 10+ years experience delivering software, libraries, and SDKs

• World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.

Ways To Stand Out From The Crowd:

• Experience with LLVM compiler technologies, including MLIR

• Prior experience developing GPU or AI applications - use of technologies like JAX, OpenAI Triton, etc. a plus

• Experience with complex application scheduling, including graph topologies and dataflow models. Background with CUDA or GPU computing

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated people in the world working with us. If you are agile and autonomous, we want to hear from you.

The base salary range is 160,000 USD - 379,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.