Developer Relations Manager, Higher Education and Research - Foundational AI

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: phdSkills: ["Communication","Collaboration","Problem-solving","Strategic thinking","Presentation"]

Develop and manage strategic engagement with leading research labs to accelerate adoption of NVIDIA’s AI and computing platforms. Serve as a technical advisor, translate academic feedback into product and education roadmaps, and collaborate cross-functionally to enable researchers and drive ecosystem growth.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Developer Relations Manager, Higher Education and Research - Foundational AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop and manage strategic engagement with leading research labs to accelerate adoption of NVIDIA’s AI and computing platforms. Serve as a technical advisor, translate academic feedback into product and education roadmaps, and collaborate cross-functionally to enable researchers and drive ecosystem growth.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Act as a trusted technical advisor for research labs, identifying high-impact workloads and integrating NVIDIA frameworks, libraries, and core software into research projects.
  • •Map and assess the research ecosystem to identify growth opportunities and inform long-term technology strategies.
  • •Stay current on research papers to anticipate trends and advise future collaboration areas.
  • •Collaborate with Research Account Managers, Solution Architects, and Business Development to enable researchers.
  • •Build closer ties with lab personnel to understand ongoing research and organizational dynamics.
  • •Attend domain scientific conferences and facilitate NVIDIA participation with subject matter experts.
  • •Translate academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.

Pay and Benefits

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

Key Requirements

  • •PhD in Computer Science, AI, Machine Learning, Computational Science, Applied Mathematics, or related field; or equivalent experience.
  • •3+ years of experience
  • •Deep expertise in agentic AI systems (LLM agents, tool use, planning, reasoning, memory, retrieval, code execution, workflow automation, multi-agent systems)
  • •Strong understanding of frontier research challenges in agents (long-horizon tasks, evaluation, reliability, safety, observability, alignment, failure recovery)
  • •Hands-on experience building or evaluating agent systems using modern AI frameworks, model APIs, orchestration tools, retrieval systems, sandboxed execution, and research-grade deployment patterns
Experience:3+ yearsAiAgentsResearch
Education:PhD / Doctorate
Skills:CommunicationCollaborationProblem-solvingStrategic thinkingPresentation
Languages:English
Tech Stack:CUDACUDA-XNVIDIA AI EnterpriseNIMNeMoNeMo Agent ToolkitOmniverseIsaacRAPIDSTensorRTTriton Inference ServerDGXCUDA-X libraries

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
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