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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
  • A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 5+ years of direct hands-on experience in Agentic AI, Generative AI, large language models, and vision-language models in enterprise-scale independent software vendor software development or government workflows.
  • Proven experience leading, partnering, and scaling developer programs at major technology companies, independent software vendors, or within relevant verticals.
  • Significant technical depth in Agentic AI, Generative AI, large language models, and vision-language model software, including areas such as smart cities, healthcare, citizen services, robotics, cloud, and AI/machine learning, and contributions to product integrations and software libraries.
  • Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
  • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators across sales, legal, product, or marketing teams as needed.
  • Ability to distill complex technical concepts for audiences ranging from engineers to executives, with end-to-end experience defining, integrating, building, and jointly marketing solutions with strategic independent software vendor partners.
  • Strong project management skills, including planning, prioritizing, and driving multiple projects simultaneously while engaging with internal and external stakeholders.
  • Hands-on experience with software architecture design, implementation, and programming.
  • Passion for AI and its development, continuous learning, self-direction, outcome-oriented work, and empathy for developers.

Responsibilities

  • Develop and maintain deep technical expertise in Agentic AI, Generative AI, and AI models for multimodal data and models; serve as a trusted technical advisor, problem solver, and champion for the developer ecosystem in Sovereign AI, working with cross-functional partners to drive adoption of NVIDIA technologies.
  • Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack, including tools, libraries, software development kits, NVIDIA inference microservices, and blueprints, into partner products, platforms, and pipelines.
  • Guide partners through onboarding and integration by providing technical resources such as sample code, guides, and demo pipelines to accelerate Sovereign AI-specific technology adoption and foster co-innovation of next-generation solutions.
  • Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
  • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel field insights to NVIDIA product teams.
  • Apply understanding of Sovereign AI technologies and use cases to support government and enterprise adopters.
  • Discover new workflows, identify blockers to independent software vendor adoption, and report findings to product teams.
  • Collaborate with NVIDIA partner managers, solution architects, industry business development managers, local and regional Sovereign AI entities, sales, and marketing.
  • Travel as required to support partners and perform the role.

Desired Qualifications

  • Experience creating or optimizing vertical-specific technical solutions using Agentic AI, Generative AI, large language models, and vision-language models for software workflows.
  • Hands-on familiarity with advanced computing, AI, and/or GPU acceleration platforms; NVIDIA AI platforms and frameworks such as NeMo Framework, TensorRT, Triton, Nemotron Models, RAPIDS, and CUDA; and vertical-specific model or algorithm optimization skills.
  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
  • Skill in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning in Sovereign AI.
  • 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 in Agentic AI, Generative AI, large language models, and vision-language models for Sovereign AI and government/citizen-services workflows.

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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