ApplySarthi

Developer Relations Manager, Higher Education and Research - 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

441 open relations roles across 150 companies are on ApplySarthi right now, most of them in Bengaluru (8), Mumbai (7), Delhi NCR (2).

Machine learning jobs

Nvidia has 3,820 open roles listed here.

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

Preparing for this interview

441 open relations roles are hiring right now across 150 companies, mostly in Bengaluru — so the questions repeat. Practise them 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 Machine learning? Tell me one thing you learned the hard way.
  3. What do you do when a production issue happens on your code?
  4. Walk me through a system you built. How was it designed, and what would you change now?
  5. Tell me about a hard bug you tracked down. How did you find the cause?

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 Developer Relations Manager, Higher Education and Research - Physics at Nvidia interview free →

We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs to accelerate the adoption of NVIDIA’s sophisticated AI and computing platforms. The ideal candidate combines deep, technical expertise with strong experience in research engagement and a proven track record of turning advanced technologies into meaningful, research-focused results. What you'll be doing: Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects. Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas. Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted. Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts. Represent the needs of researchers internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps. What we need to see: PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or a related technical field; or equivalent experience demonstrating comparable research depth. 3+ years of experience. Deep expertise applying AI to computational physics, particle physics, astrophysics, plasma/fusion, quantum systems, materials science, climate/earth systems, or scientific simulation. Strong fluency in AI methods relevant to physics, including neural operators, surrogate models, physics-informed ML, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification. Understanding of physics research workflows, including HPC simulations, numerical solvers, experimental/sensor data, large-scale instruments, inverse problems, and GPU-accelerated scientific pipelines. Ability to engage top physics and national lab researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity. Research credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational science. Ways to stand out from the crowd: Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, PhysicsNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX/accelerated computing systems. Established relationships with leading academic labs, research institutes, national labs, or major open source research communities. Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs. Experience presenting at academic conferences, research workshops, technical summits, or university facing events. Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth. NVIDIA is 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. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 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 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.