Developer Relations Manager, Higher Education and Research – AI for Science
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
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading university-affiliated researchers and labs. In this role, you will work directly with researchers 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 proven track record to translate advanced technologies into valuable, insight-focused outcomes.
What you'll be doing:
- Act as a trusted technical advisor for research labs, engaging and partnering with ecosystem leaders, 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 opportunities, challenges, interpersonal dynamics and the full scope of research being conducted.
- Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts. Drive success stories into adoption
- Represent the needs of researchers internally by translating academic feedback into actionable insights that build product development, education programs, and platform roadmaps.
What we need to see:
- PhD in Computer Science, AI, Machine Learning, Computational Science or a related technical field; or equivalent experience demonstrating comparable research depth.
- Over 4+ years of experience in research or industry, with a proven record of advancing innovation at the crossroads of AI and Science.
- Deep expertise in applying AI, including Generative AI and Physical AI, to a specific scientific domain is required. A broad intellectual foundation is also necessary to translate AI breakthroughs across fields such as Biology, Physics, material science and complex scientific workflows.
- Strong understanding of frontier research challenges in AI and computational science.
- Hands-on experience building or evaluating AI systems using modern frameworks, model APIs, orchestration tools, retrieval systems, sandboxed execution for research-grade deployment.
- Established research credibility evidenced by high-impact publications, contributions to open-source scientific software, or successful collaborations with academic laboratories.
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, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT-LLM, Dynamo, 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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 29% of the 4,308 Software Engineering roles in California listed on this site; 86 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,250.
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 7, 2026.
This listingDeveloper Relations Manager, Higher Education and Research – AI for Science$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 to $235,750
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Chart as a table
| Role | Published base |
|---|---|
| Developer Relations Manager, Higher Education and Research – AI for Science (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 |
Observed changes
- First observed on the employer's board
- 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.