About the job
As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for advancing integration of NVIDIA's libraries, models, and frameworks across one of our largest and most strategic partners. You will work with product teams across NVIDIA and Alphabet — including Google Cloud, Google DeepMind, and Waymo — to drive the integration of NVIDIA's libraries, open models, and frameworks into their platforms, aligning with their long-term business and technical goals.
Responsibilities
Drive adoption of NVIDIA software libraries, models, and frameworks throughout business, product, and engineering groups
Work closely with the NVIDIA account and technical teams on product and engineering integration priorities and coordination
Accelerate critical workloads by showcasing and incorporating the NVIDIA software stack into partner products, platforms, and pipelines. Support the partner in integration by connecting NVIDIA's DevTech, SA, Developer Relations, and Product engineering teams to boost adoption and promote collaborative development of next-generation solutions.
Engage NVIDIA technical leaders to guide integrations and resolve technical challenges. Use regular syncs to track adoption, identify new workflows, and relay field insights to 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 among the partner’s technical leaders, architects, and developer groups, encouraging early adoption of tools, libraries, SDKs, models, and blueprints
Identify unique integration opportunities to deliver differentiated solutions and compelling value propositions — particularly in agentic workflows, data processing and model optimization
Champion partner’s needs and perspectives within NVIDIA, influencing product strategy, roadmap and go-to-market initiatives
Act as NVIDIA's PIC (Pilot in Command) to lead and influence cross-functional teams — including product management, engineering, solutions architects, marketing, and ecosystem teams — ensuring partnership success
Collaborate with GTM teams including marketing and cosell teams to incubate partnerships, deliver early joint wins with key LHAs and highlight joint successes
Qualifications
Minimum
Bachelor's or Master's degree in Computer Science, Engineering, Electrical Engineering, or a similar field (or equivalent experience)
12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, or solutions architecture, including 3+ years of hands-on experience in applying accelerated computing to production workloads - inference serving and optimization, AI/ML/agentic software development, large-scale distributed training, GPU-accelerated query processing and data pipelines, and/or vector search
Deep understanding of Hyperscalers platform ecosystems — first-party (1P) services and PaaS offerings, data processing platforms, inference platforms, agentic workflows/frameworks, model catalogs/gardens — and the software stack that runs them
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external partners 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 customers and/or ISV partners
Experience influencing partner product roadmaps
Preferred
MBA, MS, or PhD in computer science, electrical engineering, or a related field
Hands-on experience with NVIDIA software libraries, frameworks, and models (e.g., CUDA-X, NVIDIA Agent Toolkit, CUTLASS, CuTeDSL, cuDNN, NCCL, CUPTI, cuVS, cuDF, nvCOMP, Dynamo, Triton, TRT-LLM, TensorRT, Nemotron, Cosmos, NeMo Framework, NeMo RL, NeMo Gym, Megatron-Core, Megatron Bridge). Familiarity with JAX and XLA training stacks at scale.
Experience engaging with AI Research organizations
Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization
Deep experience working at or alongside Alphabet — Google Cloud, Google DeepMind, or Waymo