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This listing doesn't post a salary. Most similar roles pay
$195,300–$281,300.
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Developer Relations Manager, Higher Education and Research - AI for Science
The Developer Relations Manager, Higher Education and Research - AI for Science joins the team to engage leading research labs and accelerate the adoption of sophisticated AI and computing platforms. This role involves acting as a technical advisor to integrate frameworks, libraries, and core software stacks into research projects. Responsibilities include mapping the research ecosystem, staying current on research papers, and translating academic feedback into product roadmaps. The candidate must possess a PhD or equivalent experience in Computer Science, AI, or Machine Learning. Required skills include expertise in Generative AI, Physical AI, and building systems using model APIs, orchestration tools, and retrieval systems. Notable domain context includes applying AI breakthroughs to Materials Science, Physics, and complex scientific workflows.
Drive researcher enablement by collaborating with Research Account Managers, Solution Architects, and Business Development teams.
What we're looking for
PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or 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.
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/national laboratories.
Experience with NVIDIA technologies such as CUDA, NIM, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, or Triton Inference Server (preferred).
Established relationships with leading academic labs, research institutes, national labs, or major open source research communities (preferred).
Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs (preferred).
Remote (Santa Clara, CA)15 days ago
$152,000–$241,500
AI
Machine Learning
Generative AI
CUDA
CUDA-X
NVIDIA AI Enterprise
NIM
NeMo
Nemotron
BioNeMo
cuQuantum
Omniverse
Isaac
RAPIDS
TensorRT-LLM
Dynamo
DGX
Accelerated Computing
Retrieval Systems
Remote (Santa Clara, CA)89 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
Large Language Models
LLMs
PyTorch
JAX
CUDA
TensorRT-LLM
Triton Inference Server
NeMo
Megatron
Transformer Engine
NCCL
Distributed Training
Model Serving
Quantization
RLHF
RLAIF
Inference Systems
GPU-accelerated workflows
InfiniBand
Remote (Santa Clara, CA)36 days ago
$152,000–$241,500
Large Language Models
LLMs
Multimodal AI
Generative AI
PyTorch
JAX
CUDA
TensorRT-LLM
Triton Inference Server
NeMo
Megatron
Transformer Engine
NCCL
Distributed Training
Model Serving
Quantization
RLHF
RLAIF
Inference Systems
GPU-accelerated workflows