About the job
As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for expanding integration of NVIDIA's libraries and frameworks across one of our largest and most strategic partners. You will work with teams across NVIDIA and Meta to drive the integration of NVIDIA's libraries and frameworks into Meta’s platforms, aligning with their long-term business and technical goals. This highly visible position works with our product and engineering organization to deliver joint solutions that move the needle, and extends that impact through the technologies and projects the partner stewards.
Responsibilities
Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams
Work closely with the NVIDIA account, developer relations, solutions architecture, and developer technology teams on product and engineering integration priorities and coordination
Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack into partner products, platforms, and pipelines. Guide and support the partner in integration by bringing NVIDIA's developer technology, engineering, solutions architecture and product resources to accelerate adoption and foster co-engineering of next-generation solutions
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
Qualifications
Minimum
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
Preferred
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