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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-timeIn-person

About the Job

Requirements

  • A 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.
  • 3+ years of hands-on experience applying accelerated computing or AI to production workloads, including industrial AI, simulation, computer vision, edge AI, inference, agentic software, data processing, or digital twins.
  • Deep understanding of industrial platform ecosystems and the software stack that runs them, including energy infrastructure, rail and mobility, manufacturing, industrial automation, digital engineering, enterprise AI, or IT services.
  • 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.
  • Ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives.
  • Experience influencing partner product roadmaps and bringing joint solutions to market with strategic customers or ISV partners.

Responsibilities

  • Drive adoption of NVIDIA software libraries, open models, SDKs, NIMs, blueprints, and frameworks across Hitachi business, product, and engineering groups.
  • Partner with NVIDIA account, technical, product, and engineering teams to align integration priorities across multiple Hitachi businesses.
  • Accelerate critical Hitachi workloads by incorporating the NVIDIA software stack into products, platforms, and pipelines.
  • Connect NVIDIA DevTech, Solution Architecture, Developer Relations, and Product Engineering teams with Hitachi stakeholders to advance collaborative development and adoption.
  • Engage executive and technical leaders across NVIDIA and Hitachi to guide integrations, resolve technical challenges, track adoption, identify new workflows, and relay field insights.
  • Identify differentiated solution opportunities in Physical AI, DSX / AI Factory, Agentic AI, digital twins, edge AI, and industrial automation while fostering Hitachi needs inside NVIDIA.
  • Lead multi-functional partnership execution across product, engineering, solution architecture, GTM, marketing, ecosystem, and co-sell teams to deliver early wins, lighthouse successes, and long-term partnership impact.

Desired Qualifications

  • An advanced degree such as an MBA, MS, or PhD, or equivalent experience in computing, electrical engineering, or a related field.
  • Hands-on experience with NVIDIA software libraries, frameworks, and models, including CUDA-X, cuDSS, NIM, NeMo / Nemotron, Cosmos, Omniverse, Isaac Sim, Metropolis, DeepStream, PhysicsNeMo, Holoscan, Jetson, or IGX.
  • Deep experience working at or alongside Hitachi, or any major industrial technology partners, developer communities, or technical enablement programs.
  • Ability to translate developer sentiment, product requirements, and market shifts into actionable intelligence for industry strategy and product roadmap decisions.
  • Domain experience in energy systems, grid modernization, AI factories, autonomous mobility, industrial digital twins, or operational technology / IT convergence.

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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