ApplySarthi

Senior Product Manager, AI Physics

Nvidia

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

9,856 open product roles across 1,286 companies are on ApplySarthi right now, most of them in Bengaluru (355), Hyderabad (101), Delhi NCR (71).

What product roles keep asking for: Product management (49%), Stakeholder management (18%), SaaS (14%), Agile (13%) — counted across their open postings here.

Product Manager jobs in the United States · Remote Product Manager jobs · Product management jobs

Nvidia has 3,839 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for product roles keep coming back to Product management, Stakeholder management, SaaS, Agile. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Product management? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Senior Product Manager, AI Physics at Nvidia interview free →

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 AI physics models, libraries, and frameworks. This role is responsible for leading some of our newest AI physics products, which are at the forefront of engineering acceleration and experiencing massive adoption and interest across 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 AI physics products are essential, visible and growing both inside and outside of NVIDIA. We are looking for a self-starting product manager to continue growing these impactful models, libraries, and frameworks. 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 and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries. Building: Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development. Presenting: Engage external and internal audiences, delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate. Collaborate with marketing, sales, and PR teams on content creation for partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more. Collaborating: Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, and field teams, to ensure alignment and execution of GTM and strategic business plans. What We Need To See: Graduate degree or equivalent experience in AI, physics, 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 AI, libraries, SDKs, frameworks, and/or toolkits. Familiarity with AI frameworks and AI architecture for physical simulation. 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 computer-aided engineering or high performance computing. Prior experience managing AI-enhanced 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 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 October 11, 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.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-11-06. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.