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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

  • A 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, including 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, reasoning about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs.
  • A consistent record of structuring and driving complex technical engagements, negotiating requirements, prioritizing issues, and collaborating with internal and external stakeholders across sales, legal, product, and marketing teams.
  • Ability to distill complex technical concepts and articulate value propositions to audiences 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.

Responsibilities

  • Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams.
  • Work with 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 partner integration using NVIDIA developer technology, engineering, solutions architecture, and product resources to accelerate adoption and co-engineer next-generation solutions.
  • Engage technical leaders to drive best-practice integrations and resolve technical challenges; use regular syncs to track adoption, surface workflows, and channel field insights to NVIDIA 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 within partner executive leadership, architect, research, and developer communities, driving early adoption of tools, libraries, frameworks, and SDKs.
  • Identify integration opportunities for differentiated solutions and value propositions, particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing.
  • Champion partner needs and perspectives within NVIDIA, influencing product strategy and roadmap.
  • Act as NVIDIA's Pilot in Command, leading cross-functional product management, engineering, solutions architecture, developer relations, marketing, legal, sales, and ecosystem teams to ensure partnership success.
  • Grow upstream adoption of NVIDIA libraries and frameworks in open-source projects maintained and contributed to by the partner, and support downstream adoption across the ecosystem.

Desired Qualifications

  • An MBA, MS, or PhD in computer science, electrical engineering, or a similar field.
  • Familiarity with NVIDIA software libraries and platforms such as CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, and TRT-LLM.
  • Contributor or maintainer standing in open-source projects partners run in production, such as PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, and Presto/Velox.
  • Experience engaging AI research organizations through publications, upstream contributions, or co-authored performance work.
  • Deep experience working at or alongside Meta.

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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