Developer Relations Manager, Higher Education and Research - Foundational AI

NVIDIA
Santa Clara, United States
Workplace: HybridFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: phdSkills: ["Technical advisory","Research engagement","Translating feedback","Strategic partnership","Technical content delivery"]

Partner with academic AI labs to accelerate adoption of NVIDIA’s AI and accelerated computing platforms for foundational research. Serve as a technical advisor on LLMs, multimodal and reasoning systems, training/inference workflows, and model serving, helping identify blockers and high-impact workloads. Translate lab feedback into actionable insights for developer programs, education, and platform strategy, while supporting NVIDIA’s presence at major research venues through technical content and workshops.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Developer Relations Manager, Higher Education and Research - Foundational AI

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Job Summary

Partner with academic AI labs to accelerate adoption of NVIDIA’s AI and accelerated computing platforms for foundational research. Serve as a technical advisor on LLMs, multimodal and reasoning systems, training/inference workflows, and model serving, helping identify blockers and high-impact workloads. Translate lab feedback into actionable insights for developer programs, education, and platform strategy, while supporting NVIDIA’s presence at major research venues through technical content and workshops.
Location: Santa Clara, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Serve as a trusted technical advisor to academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, and training/inference systems.
  • •Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can improve performance, scale, and efficiency.
  • •Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities.
  • •Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to spot emerging trends and future platform opportunities.
  • •Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy.

Pay and Benefits

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

Key Requirements

  • •PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research experience.
  • •5+ years of technology industry experience across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years hands-on experience in AI.
  • •Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research.
  • •Strong understanding of the AI model development lifecycle (pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving).
  • •Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows.
Experience:5+ yearsFoundational AILLMsMultimodal AIDistributed trainingAI researchGPU-accelerated workflows
Education:PhD / Doctorate in Computer Science, AI, Machine Learning, Applied Mathematics, or Electrical Engineering
Skills:Technical advisoryResearch engagementTranslating feedbackStrategic partnershipTechnical content delivery
Tech Stack:PyTorchJAXCUDACUDA-XTensorRT-LLMTriton Inference ServerNIMNeMoMegatronTransformer EngineNCCLDGXNVLinkInfiniBandNVIDIA AI EnterpriseDistributed training frameworksInference systemsModel serving platformsEvaluation pipelinesQuantization

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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