Senior Product Manager, cuEST and cuEquivariance

Reposted 23 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
168K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Product Manager will lead strategic go-to-market plans for NVIDIA's CUDA-X libraries, collaborating across teams to drive execution and growth in scientific computing markets.
Summary Generated by Built In

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a technical and passionate product manager to join the NVIDIA team building our GPU acceleration libraries. This role is responsible for leading some of our newest quantum chemistry math libraries, which are at the forefront of GPU acceleration and experiencing massive adoption and interest across scientific research and applications from drug discovery to CAE and EDA workloads. Come join our team in this highly visible and central opportunity to impact NVIDIA’s continued leadership in accelerated computing.

NVIDIA's CUDA-X libraries are essential, visible and growing both inside and outside of NVIDIA. We are looking for a self-starting product manager to continue growing these math libraries. Do you have the unique blend of technical, positioning and communication skills? Are you excited about groundbreaking technology? If so, we would love to learn more about you!

What You’ll Be Doing:

  • Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for these CUDA-X libraries across key industries. This includes effective messaging, positioning, and market research.

  • Building: Bring ideas to life through content creation of sales/partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more.

  • Presenting: Engage with various audiences (internal and external), delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate

  • Collaborating: Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, sales, and PR teams to ensure alignment and execution of GTM and strategic business plans.

  • Learning: Bring back industry news, direct developer/customer conversations, and share critical insights with internal teams

What We Need To See:

  • Undergraduate degree or equivalent experience in psychics, mathematics, mechanical engineering, electrical engineering, computer engineering, or relevant technical field

  • 8+ years of combined experience in a product management or technical role at a technology company working with libraries, SDKs, and/or toolkits

  • Familiarity with quantum chemistry, atomistic simulation and AI

  • Strong technical foundation in GPU computing, CUDA, or parallel programming models

  • Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams

  • Proven ability to translate technical capabilities into developer and customer value

  • Ability to prioritize multiple projects and work independently with minimal direction

Ways To Stand Out From The Crowd:

  • Experience with quantum chemistry, atomistic simulation, and AI

  • Prior experience managing quantum chemistry or atomistic AI simulation products

  • Experience driving go-to-market strategy and customer engagements for technical products

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Skills Required

  • Undergraduate degree in physics, mathematics, engineering, or relevant technical field
  • 8+ years of experience in product management or technical role
  • Familiarity with quantum chemistry and AI
  • Strong foundation in GPU computing and CUDA
  • Excellent communication and presentation skills
  • Ability to manage multiple projects independently

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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