Champion NVIDIA's full research platform, from CUDA libraries to NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS etc. Helping researchers unlock platform value across both AI model development and scientific discovery workloads.
Develop NVIDIA's presence at major AI and scientific research venues, such as NeurIPS, ICML, ICLR, SC, domain scientific conferences, and drive university engagements, workshops, and lab-facing programs.
Collaborate across Research Account Managers, Solution Architects, Product, Engineering, and Business Development to align ecosystem strategy with global priorities. Translate researcher feedback into actionable product and program insights.
What We Need to See
PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience.
12+ overall years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships.
Deep technical proficiency across both foundational AI (LLMs, training, post-training, inference) and AI for science (domain AI applications, scientific computing, simulation).
Proven track record to engage senior research stakeholders with credibility and strategic intent.
Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment.
Ways to Stand Out from the crowd
Research Credibility: Publications, open-source contributions, or direct experience working on leading AI systems or scientific solutions based on AI.
Platform Depth: Hands-on experience with NVIDIA technologies including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems.
Research ecosystem network: Established relationships with leading academic labs, research consortia and major open-source research communities.
Scientific Domain Expertise: Depth in one or more priority verticals, such as physics, bioscience, quantum computing etc, with the breadth to engage across domains.
Matrix Navigator: Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization.
NVIDIA is widely considered one of the technology world's most desirable employers. If you are a technically credible, highly autonomous leader who thrives at the frontier of AI and science, we want to hear from you! NVIDIA is committed to encouraging an inclusive work environment and proud to be an equal opportunity employer!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
