We are seeking a dynamic, mission-driven 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.
What you'll be doing:
Act 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.
Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies
Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.
Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement
Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted.
Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.
Represent the needs of researchers internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.
What we need to see:
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.
Ways to stand out from the crowd:
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.
Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.
Experience presenting at academic conferences, research workshops, technical summits, or university facing events.
Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or a related technical field, or equivalent research-depth experience
- 3+ years of professional experience
- Deep expertise applying AI to computational physics, particle physics, astrophysics, plasma or fusion, quantum systems, materials science, climate or earth systems, or scientific simulation
- Strong fluency in AI methods relevant to physics, including neural operators, surrogate models, physics-informed machine learning, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification
- Understanding of physics research workflows, including HPC simulations, numerical solvers, experimental or sensor data, large-scale instruments, inverse problems, and GPU-accelerated scientific pipelines
- Ability to engage leading physics and national laboratory researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity
- Research credibility demonstrated through publications, open-source scientific software, academic or national laboratory collaborations, technical leadership, or hands-on AI for physics or computational science work
- 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 systems
- Established relationships with leading academic labs, research institutes, national laboratories, or major open-source research communities
- Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs
- Experience presenting at academic conferences, research workshops, technical summits, or university-facing events
- Ability to identify emerging research trends and convert them into strategic collaboration, platform adoption, and ecosystem-growth opportunities
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
