below marketmost similar roles pay hereabove market
This role pays less than
72%
of similar roles. Most pay
$196,750–$275,511
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$236k
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Based on 240 similar postings.
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
1529 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1097 roles with salary data.
The Developer Relations Manager, Higher Education and Research – AI for Science serves as a technical advisor to university-affiliated researchers and labs to accelerate the adoption of AI and computing platforms. You will identify high-impact workloads by integrating frameworks, libraries, and core software stacks into research projects while mapping the research ecosystem to inform long-term technology strategies. Key responsibilities include translating academic feedback into product roadmaps, attending scientific conferences, and collaborating with internal teams to drive researcher enablement. Required expertise includes a PhD or equivalent experience in Computer Science, AI, or Machine Learning, with deep knowledge of Generative AI and Physical AI across Biology, Physics, and material science. You must possess hands-on experience with model APIs, orchestration tools, and retrieval systems to solve complex scientific workflows.
Drive success stories into adoption by converting frontier research into demos, workshops, and technical content.
What we're looking for
PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field with equivalent experience.
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.
Broad intellectual foundation 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, and sandboxed execution.
Established research credibility evidenced by high-impact publications, open-source contributions, or successful collaborations with academic laboratories.
Experience with NVIDIA technologies such as CUDA, NIM, BioNeMo, or DGX systems (preferred).
AI
Machine Learning
Generative AI
CUDA
CUDA-X
NVIDIA AI Enterprise
NIM
NeMo
Nemotron
BioNeMo
cuQuantum
Omniverse
Isaac
RAPIDS
TensorRT
Triton Inference Server
DGX
Open Source
Remote (Santa Clara, CA)163 days ago
$152,000–$241,500
AI
Machine Learning
CUDA
CUDA-X
NVIDIA AI Enterprise
NIM
NeMo
Nemotron
PhysicsNeMo
cuQuantum
Omniverse
Isaac
RAPIDS
TensorRT
Triton Inference Server
DGX
HPC
Differentiable Simulation
Generative Modeling
Uncertainty Quantification
Remote (Santa Clara, CA)79 days ago
$152,000–$241,500
NVIDIA
CUDA
TensorRT-LLM
Triton Inference Server
NVIDIA NeMo
NIM
LLMs
Distributed Systems
Machine Learning Infrastructure
GPU Acceleration
RAPIDS
Model Optimization
Inference Scaling
Agent Frameworks
Multimodal AI
AWS
Azure
GCP
GenAI
MLOps
CUDA
TensorRT LLM
Triton Inference Server
SageMaker
Amazon Bedrock
EMR
EKS
EC2
NVIDIA NIM
cuDNN
RAPIDS
NeMo
Isaac Sim
Dynamo
Distributed Systems