Developer Relations Manager, HER BioSciences

About the role

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.

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 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.

Qualifications

• Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, BioNeMo, 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.
• Able to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.

Skills

• Excellent communication and interpersonal skills.
• Ability to work independently and manage multiple priorities.
• Strong analytical and problem-solving skills.
• Knowledgeable about industry standards and best practices.

Benefits

• 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.

Pay

• Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Schedule

• Full-time position.