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NVIDIA

Designs the chips and software that power AI

Senior Developer Relations Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time€101.3k - €231.4k

About the Job

Requirements

  • A bachelor's or master's degree, or equivalent experience, in Computer Science, Engineering, or a related field.
  • At least 8 years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including at least 5 years of hands-on experience engaging with Product and Engineering organizations at enterprise-scale software companies on strategic product integrations.
  • Experience leading, partnering in, and scaling developer programs at major technology companies, and working on product integration with vertical-specific technology platforms or horizontal business applications.
  • Technical depth in AI/ML, customization of open models, or creation of agentic systems, with 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.
  • A track record of structuring and implementing sophisticated technical engagements, negotiating requirements, prioritizing issues, and collaborating with internal or external teams across sales, legal, product, or marketing as needed.
  • Skill in distilling sophisticated technical concepts for audiences ranging from engineers to executives, with end-to-end experience defining, integrating, building, and jointly marketing solutions with strategic ISV partners.
  • Ability to conceptualize and communicate the commercial impact of integrating NVIDIA's platform.

Responsibilities

  • Establish technical and business relationships at every level with a small set of strategic, regionally important software companies, and develop and implement strategies to integrate the NVIDIA platform into their products.
  • Develop and maintain deep technical expertise in agentic AI systems, open models, data science applications, and GPU-accelerated computing; serve as a trusted technical advisor, problem solver, and developer champion for supported software companies; and collaborate with cross-functional partners to drive adoption of NVIDIA technologies.
  • Accelerate critical software-company workloads by demonstrating and integrating the NVIDIA software stack, including tools, libraries, SDKs, open models, NIMs, 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 adoption and foster co-innovation.
  • Map and supervise the developer ecosystem to identify growth opportunities, collaborate with engineering, product management, and marketing to advise roadmaps, and optimize partner adoption strategies.
  • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges; use regular syncs to track adoption, surface new workflows, and relay critical field insights to NVIDIA product teams.
  • Travel frequently, up to 60% of the time.
  • Communicate the business and commercial value of integrating the NVIDIA platform into software-company products.

Desired Qualifications

  • Hands-on experience building or optimizing AI solutions with software companies developing vertical-specific technology platforms or horizontal business applications.
  • Ability to distill sophisticated technical concepts and articulate value propositions to audiences ranging from AI/ML engineers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic ISV partners.
  • Familiarity with advanced computing, AI, or GPU acceleration platforms, including agentic systems that incorporate domain-adapted open models.
  • A history of building and scaling developer communities and delivering impactful technical enablement programs.
  • Expertise in building frameworks to capture developer sentiment and market shifts, and translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization.

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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