[Remote] Developer Relations Manager, Higher Education and Research - Physics
Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its innovative AI and computing platforms. They are seeking a Developer Relations Manager to engage with research labs and accelerate the adoption of their technologies, while providing technical direction and enabling researchers in the field of physics.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Equity
- Benefits
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