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NVIDIA

Designs the chips and software that power AI

Global Account Manager - Developer Relations

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • 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 applying accelerated computing to production workloads such as inference serving and optimization, AI/ML/agentic software development, data processing, vector search, and/or search and ads ranking.
  • Deep understanding of hyperscaler platform ecosystems, including first-party services and platform-as-a-service offerings, data processing platforms, inference platforms, agentic workflows and frameworks, model catalogs or gardens, and the software stack that runs them.
  • 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.
  • 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 independent software vendor partners.
  • Experience influencing partner product roadmaps.

Responsibilities

  • Drive adoption of NVIDIA software libraries, open models, and frameworks throughout business, product, and engineering groups.
  • Work closely with NVIDIA account and technical teams on product and engineering integration priorities and coordination.
  • Accelerate critical workloads by showcasing and incorporating the NVIDIA software stack, including libraries, models, software development kits, NVIDIA Inference Microservices, and blueprints, into partner products, platforms, and pipelines.
  • Support Microsoft integrations by connecting NVIDIA Developer Technology, solutions architecture, 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 relationships with executive and technical collaborators across partner organizations, from C-suite sponsors to developers building production software.
  • Advocate for NVIDIA software among the partner’s technical leaders, architects, and developer groups, encouraging early adoption of tools, libraries, software development kits, models, and blueprints.
  • Identify integration opportunities to deliver differentiated solutions and value propositions, particularly in agentic workflows, data processing, and model optimization.
  • Champion partner needs and perspectives within NVIDIA, influencing product strategy, roadmap, and go-to-market initiatives.
  • Act as NVIDIA’s Pilot in Command to lead and influence cross-functional teams, including product management, engineering, solutions architects, marketing, and ecosystem teams, to ensure partnership success.
  • Collaborate with go-to-market teams, including marketing and co-sell teams, to incubate partnerships, deliver early joint wins with key lighthouse accounts, and highlight joint successes.

Desired Qualifications

  • Hands-on experience with NVIDIA software libraries, frameworks, and models, such as Nemotron, Cosmos, CUDA-X, NVIDIA Agent Toolkit, cuVS, cuDF, NVIDIA Inference Microservices, Dynamo, Triton, TensorRT-LLM, Omniverse, Isaac Sim, and Metropolis.
  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
  • 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 Microsoft.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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