
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California – Remote
💵 $152k - $287.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤝 Developer Relations (DevRel)
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Act as a trusted technical advisor for research labs, engaging and partnering with ecosystem leaders • Identify and accelerate 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 by understanding opportunities, challenges, interpersonal dynamics, and the full scope of research being conducted • Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts • Drive success stories into adoption • Represent researchers' needs internally by translating academic feedback into actionable insights for product development, education programs, and platform roadmaps
• PhD in Computer Science, AI, Machine Learning, Computational Science or a related technical field; or equivalent experience demonstrating comparable research depth • 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 • Broad intellectual foundation to translate AI breakthroughs across Biology, Physics, material science and complex scientific workflows • Strong understanding of frontier research challenges in AI and computational science • Hands-on experience building or evaluating AI systems using modern frameworks, model APIs, orchestration tools, retrieval systems, and sandboxed execution for research-grade deployment • Established research credibility evidenced by high-impact publications, contributions to open-source scientific software, or successful collaborations with academic laboratories • Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT-LLM, Dynamo, 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
• Competitive salaries • Generous benefits package • Equity
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