Six Figure Work

Developer Relations Manager, Higher Education and Research - Physics

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $152,000  to $287,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (16 min ago) · observed since

About this job

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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($152,000) is above 28% of the 5,064 Software Engineering roles in California listed on this site; 117 others list the same floor. Their median floor is $176,600; the middle half runs from $149,365 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Developer Relations Manager, Higher Education and Research - Physics (this listing)$152,000 - $287,500
Senior Networking Architect$152,000 - $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 - $287,500
Solutions Architect, AI and ML$152,000 - $287,500
Infrastructure Solutions Architect - OEM$152,000 - $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 - $235,750
Senior Software Engineer, CUTLASS Performance$152,000 - $287,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara • US, Remote (Levels 3-4 combined)

152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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