# Developer Relations Manager, Higher Education and Research - Physics

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Relations-Manager--Higher-Education-and-Research---Physics_JR2017733-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_60eee50a-104

## Description

We are seeking a dynamic Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs to accelerate the adoption of NVIDIA's sophisticated AI and computing platforms. The ideal candidate combines deep, technical expertise with strong experience in research engagement and a proven track record of turning advanced technologies into meaningful, research-focused results.

Your key responsibilities will include: Acting as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects. Mapping and continuously assessing the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies Staying current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas. Collaborating cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement Forging closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted. Attending domain scientific conferences and facilitating NVIDIA participation alongside other subject matter experts. Representing the needs of researchers internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.

To succeed in this role, you will need: A PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or a related technical field; or equivalent experience demonstrating comparable research depth. 3+ years of experience. Deep expertise applying AI to computational physics, particle physics, astrophysics, plasma/fusion, quantum systems, materials science, climate/earth systems, or scientific simulation. Strong fluency in AI methods relevant to physics, including neural operators, surrogate models, physics-informed ML, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification. Understanding of physics research workflows, including HPC simulations, numerical solvers, experimental/sensor data, large-scale instruments, inverse problems, and GPU-accelerated scientific pipelines. Ability to engage top physics and national lab researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity. Research credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational science.

If you have experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, PhysicsNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX/accelerated computing systems, established relationships with leading academic labs, research institutes, national labs, or major open source research communities, or a track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs, you will stand out from the crowd.

## Skills

### Required
- AI
- Machine Learning
- Computational Science
- Physics
- Neural Operators
- Surrogate Models
- Physics-Informed ML
- Differentiable Simulation
- Simulation-Based Inference
- Generative Modeling
- Uncertainty Quantification
- HPC Simulations
- Numerical Solvers
- Experimental/Sensor Data
- Large-Scale Instruments
- Inverse Problems
- GPU-Accelerated Scientific Pipelines

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Relations-Manager--Higher-Education-and-Research---Physics_JR2017733-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)