[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.ResponsibilitiesAct 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 projectsMap and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategiesStay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areasCollaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablementForge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conductedAttend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter expertsRepresent the needs of researchers internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmapsSkillsPhD in Computer Science, AI, Machine Learning, Computational Science, Physics, or a related technical field; or equivalent experience demonstrating comparable research depth3+ years of experienceDeep expertise applying AI to computational physics, particle physics, astrophysics, plasma/fusion, quantum systems, materials science, climate/earth systems, or scientific simulationStrong fluency in AI methods relevant to physics, including neural operators, surrogate models, physics-informed ML, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantificationUnderstanding of physics research workflows, including HPC simulations, numerical solvers, experimental/sensor data, large-scale instruments, inverse problems, and GPU-accelerated scientific pipelinesAbility to engage top physics and national lab researchers on physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validityResearch credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational scienceExperience 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 systemsEstablished relationships with leading academic labs, research institutes, national labs, or major open source research communitiesTrack record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programsExperience presenting at academic conferences, research workshops, technical summits, or university facing eventsAbility to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growthBenefitsEquityBenefitsCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.