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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - GSI

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 12 years of overall professional experience in the technology industry in software engineering, developer relations, or technical partnerships, including at least 5 years of direct hands-on experience in the designated ecosystem.
  • Validated experience leading, partnering, and rapidly growing developer programs at major technology companies, global systems integrators, or within relevant verticals, concentrating on next-generation generative AI and physical AI solutions.
  • Technical proficiency in high-performance computing, cloud, artificial intelligence and machine learning, and/or vertical-specific frameworks and libraries.
  • Ability to distill sophisticated technical concepts for diverse technical and non-technical audiences, from engineers to executives.
  • Experience leading technical partnerships with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
  • Ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners across sales, legal, product, or marketing teams as needed.

Responsibilities

  • Act as the trusted technical advisor for Global Systems Integrator developers in various verticals and industries, solve their problems, champion their needs with multifunctional partners, and drive adoption of NVIDIA technologies.
  • Accelerate critical workloads by demonstrating solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
  • Advise on technical enablement resources, such as sample code, guides, demonstration pipelines, and tools, to highlight how technologies solve real-world problems and maximize NVIDIA technologies.
  • Guide Global System Integrators, Advanced Technology Partners, and startups through onboarding and integration with NVIDIA programs, fostering co-innovation and development of next-generation generative AI and physical AI solutions.
  • Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
  • Collaborate with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
  • Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote standard processes for successful integrations.
  • Represent and advocate for partners’ technical needs and provide feedback to NVIDIA product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

Desired Qualifications

  • Production agentic AI experience shipping complex, vertical-specific multi-agent systems into real customer environments, including agent profiling, evaluation, and observability at scale.
  • Physical AI and spatial computing experience at the intersection of generative AI and the physical world, including multimodality, robotics, spatial reasoning, digital twins, or edge AI using NVIDIA Omniverse, OpenUSD, Cosmos, Isaac, or GR00T.
  • Hands-on experience building or optimizing vertical-specific solutions, such as training, inference, or tuning AI models; developing retrieval-augmented generation pipelines, bidding algorithms, or AI data pipelines.
  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms, including NVIDIA NVAIE, CUDA, Triton, NeMo, NIMs, DOCA, Omniverse, and Physical AI solutions.
  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

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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