Senior Technical Product Manager for GPU Programming Model

15 hours ago


Santa Clara, California, United States NVIDIA Full time
Job Title: Senior Technical Product Manager, GPU Programming Model

NVIDIA is seeking a highly skilled Senior Technical Product Manager to lead the development and deployment of complex applications in the world's most advanced data centers. As a key member of our team, you will work closely with developers and engineering teams to craft technologies that enable our customers to easily develop applications using the world's most advanced tensor operators.

Key Responsibilities:
  • Define and prove market analysis to enter or change new markets through a clear value proposition for your product
  • Understand your developers and further their needs through roadmaps and priority setting
  • Work closely with engineering to set requirements and priorities
  • Engage customers, present at conferences, understand product quality, and monitor critical bugs
  • Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR, Sales, etc.
  • 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 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
Preferred Qualifications:
  • 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

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.



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