Engage technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams
Build strong relationships with executive and technical collaborators across partner organizations — from C-suite sponsors to the developers building production software
Advocate for NVIDIA software within partner’s executive leadership, architect, research and developer communities, driving early adoption of new tools, libraries, frameworks, and SDKs
Identify integration opportunities to deliver differentiated solutions and unique value propositions — particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing
Champion partner’s needs and perspectives within NVIDIA, influencing product strategy and roadmap
Act as NVIDIA's PIC (Pilot in Command) to lead cross-functional teams — including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams — ensuring partnership success
Grow adoption of NVIDIA libraries and frameworks upstream in the open-source projects the partner maintains and contributes to, and support downstream adoption across the ecosystem
What we need to see
Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master's degree or equivalent experience
12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering, including 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing
Deep understanding of large-scale AI infrastructure — frontier model training and inference platforms, recommender and ranking systems, data processing platforms — and the software stack that runs them
Technical depth sufficient to engage partner research and performance engineering teams as a peer — able to reason about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs
Consistent record to structure and drive progress of complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders across sales, legal, product, and marketing teams
Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic partners or open-source communities
Experience influencing partner product roadmaps
Ways to stand out from the crowd
MBA or MS or PhD in computer science, electrical engineering or similar field
Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, TRT-LLM)
Contributor or maintainer standing in the open -source projects partners run in production — PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, Presto/Velox
Experience engaging AI research organizations - publications, upstream contributions, or co-authored performance work
Deep experience working at or alongside Meta
With attractive compensation and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 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.
