Developer Relations Manager, Higher Education and Research - AI for Science

NVIDIA
Santa Clara
Full timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 4+ yearsEducation: phdSkills: ["Collaboration","Technical advising","Strategic thinking","Communication","Translating feedback"]

Engage leading research labs to accelerate adoption of NVIDIA’s AI and computing platforms. Serve as a trusted technical advisor by integrating NVIDIA frameworks, libraries, and software into research projects, monitoring the research ecosystem, and anticipating emerging trends. Collaborate with Research Account Managers, Solution Architects, and Business Development to enable researchers, translate academic feedback into actionable insights, and represent NVIDIA at domain conferences and workshops.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 days ago

Developer Relations Manager, Higher Education and Research - AI for Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 minutes agoStatus: Live

Job Summary

Engage leading research labs to accelerate adoption of NVIDIA’s AI and computing platforms. Serve as a trusted technical advisor by integrating NVIDIA frameworks, libraries, and software into research projects, monitoring the research ecosystem, and anticipating emerging trends. Collaborate with Research Account Managers, Solution Architects, and Business Development to enable researchers, translate academic feedback into actionable insights, and represent NVIDIA at domain conferences and workshops.
Location: Santa Clara
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Act as a trusted technical advisor to research labs, integrating NVIDIA frameworks and software stack into research projects to accelerate high-impact workloads.
  • •Map and assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies.
  • •Stay current on research papers to anticipate trends and provide technical direction for future collaborations.
  • •Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development to drive researcher enablement.
  • •Represent researchers internally by translating academic feedback into actionable insights for product development, education programs, and platform roadmaps.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Perks:Equity

Key Requirements

  • •PhD in Computer Science, AI, Machine Learning, Computational Science (or related) or equivalent research experience.
  • •Over 4+ years of experience in research or industry, advancing innovation at the intersection of AI and science.
  • •Deep expertise applying Generative AI and Physical AI to a scientific domain, with breadth across areas like materials science and physics.
  • •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, and sandboxed execution.
Experience:4+ yearsResearchAIMachine learningComputational scienceOpen sourceAcademic labsNational labs
Education:PhD / Doctorate in Computer Science, AI, Machine Learning, Computational Science
Skills:CollaborationTechnical advisingStrategic thinkingCommunicationTranslating feedback
Tech Stack:CUDACUDA-XNVIDIA AI EnterpriseNIMNeMoNemotronBioNeMoCuQuantumOmniverseIsaacRAPIDSTensorRTTriton Inference ServerDGXGenerative AIPhysical AIModel APIsOrchestration toolsRetrieval systemsSandboxed execution

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor