Developer Relations Manager, Higher Education and Research - Physics

Nvidia

Remote Actively hiring
Remote, USA · Santa Clara, CA Posted 22 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

Join us as a Developer Relations Manager in our cutting-edge team, where you will engage with leading research labs to accelerate the adoption of NVIDIA’s AI and computing platforms. Your role involves acting as a technical advisor by integrating NVIDIA's frameworks into research projects, mapping the research ecosystem to identify opportunities for growth, and staying current on emerging trends through continuous engagement with academic papers and conferences. You will collaborate closely with cross-functional teams including Research Account Managers and Solution Architects to drive researcher enablement and represent researchers' needs internally to shape product development. This position requires a PhD in Computer Science or related fields, deep expertise in AI applications for computational physics, strong fluency in relevant AI methods, and experience with NVIDIA technologies such as CUDA and RAPIDS. Additionally, you should have established relationships within the research community and a proven track record of translating frontier research into strategic opportunities.

Skills

CUDA NVIDIA AI Enterprise NeMo PhysicsNeMo cuQuantum Omniverse Isaac RAPIDS TensorRT Triton Inference Server DGX Python HPC GPU-accelerated scientific pipelines CI/CD GitHub Jupyter Notebooks Slurm GitLab Docker Kubernetes

What you'll do

  • Identify and accelerate high-impact workloads by integrating NVIDIA’s technologies into research projects.
  • Map the research ecosystem to inform long-term technology strategies and institutional growth.
  • Stay current on research papers to anticipate emerging trends in AI and computing.
  • Translate academic feedback into actionable insights that shape product development roadmaps.
  • Engage top researchers to discuss physical consistency, interpretability, and numerical accuracy.
  • Attend scientific conferences to facilitate NVIDIA’s participation and foster collaboration.

What we're looking for

  • PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or related field.
  • 3+ years of experience applying AI to computational physics and other scientific domains.
  • Deep expertise in AI methods relevant to physics research workflows.
  • Strong understanding of NVIDIA technologies and platforms.
  • Established relationships with leading academic labs and research institutes.
  • Track record translating frontier research into strategic opportunities and technical content.
  • Ability to engage top researchers on physical consistency, interpretability, and numerical accuracy.

Market check

Salary context

This $152,000–$241,500 range sits above 51% of similar postings on FindRole.

Peer median band

$151,000–$238,550

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$155,870–$241,250

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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