Senior Technical Product Manager, GPU Programming Model - CUDA

$160,000 - $310,500/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Remote - Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

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.

Responsibilities

• 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.

Requirements

• Masters in Computer Science, Electrical Engineering, 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.

Nice-to-haves

• 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.

Benefits

• Equity and benefits eligibility.