Senior Product Manager, HPC and AI for Physics

Posted 4 Days Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
168K-328K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Drive the development and roadmap of HPC and AI/ML products for physics, plasma, high-energy-density simulations, and resilient materials discovery. Define features, requirements, positioning, and go-to-market strategy; collaborate with engineering and NVIDIA software teams; identify customers and partnerships; and represent products at workshops and conferences.
Summary Generated by Built In

HPC and AI can reshape the Exabytes data processing/analysis, development of high energy density physics simulations, and discovery of resilient materials across various industries ranging from supercomputing, higher education, clean energy, manufacturing, semiconductors, etc. We are looking for a Senior Product Manager who will drive the development of product and capabilities that combine HPC and AI/ML techniques to accelerate the discovery and design of plasma and high energy physics including resilient materials, numerical simulations, etc.

We’re seeking someone who is a self-starter with demonstrated experience in developing products from the ground up. Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you will be doing:

  • Define the product features, capabilities, value proposition, positioning, and roadmap based on market analysis and customer feedback.

  • Work closely with engineering to set requirements, priorities and drive integration with complementary NVIDIA software products.

  • Define go-to-market strategy and build assets for product launches, blogs, webinars, PR, and sales enablement.

  • Stay up-to-date with the latest trends and offerings to identify early-access customers and partnership opportunities

  • Participate and present in workshops and conferences

What we need to see:

  • Degree in Physics, Applied Math, Computer Science (Ph.D. preferred) or equivalent experience

  • Experience and familiarity with applied physics and material science simulation tools, AI and scientific computing applications

  • 7+ years in a technical product leadership role in delivering software and libraries

  • Proven record of collaborating in a matrix organization

  • Entrepreneurial spirit with strong communication skills to articulate the value proposition to technical and non-technical audiences

Ways to stand out from the crowd:

  • Background in developing high energy, plasma physics simulation software packages, fusion materials and blanket design, or numerical and data processing/analysis for physics/material science/plasma science.

  • Good understanding of modern processor technologies (GPUs preferred) as applied to scientific computing

  • Hands-on demeanor for problem solving and building customer friendly products

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative, entrepreneurial and autonomous with a real passion for technology, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Degree in Physics, Applied Math, Computer Science, or equivalent experience
  • 7+ years of experience in a technical product leadership role delivering software and libraries
  • Experience with applied physics and materials science simulation tools, AI, and scientific computing applications
  • Demonstrated experience developing products from the ground up
  • Proven ability to collaborate in a matrix organization
  • Strong communication skills for technical and non-technical audiences
  • Ph.D. in Physics, Applied Math, or Computer Science
  • Experience developing high-energy or plasma physics simulation software, fusion materials and blanket design, or physics and materials science data processing
  • Understanding of modern processor technologies, preferably GPUs, for scientific computing

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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