Developer Relations Manager

🕒 May 7

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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.

📋 Description

• 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 build product development, education programs, and platform roadmaps.

🎯 Requirements

• PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, Biology, Bioengineering, or a related technical field; or equivalent experience demonstrating comparable research depth. • 3+ years of experience. • Deep expertise in applying AI to protein design, genomics, transcriptomics, structural biology, molecular simulation, drug discovery, biomedical imaging, or biomedical foundation models. • Strong proficiency in AI methods relevant to life sciences, including protein language models, sequence models, graph neural networks, diffusion models, multimodal models, and generative models for molecules or proteins. • Understanding of bioscience research workflows, including biological datasets, omics pipelines, structure prediction, target discovery, wet-lab collaboration, lab-in-the-loop experimentation, and reproducibility. • Ability to engage top bioscience labs on model accuracy, biological validity, scale, experimental integration, translational impact, and the role of accelerated computing in AI-driven discovery. • 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.

🏖️ Benefits

• eligibility for equity • benefits