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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Artificial Intelligence

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

About the Job

Requirements

  • A BS, MS, or PhD in Computer Science or Engineering, or equivalent experience.
  • 15 or more years of experience with cloud, artificial intelligence, scalable applications, data analytics, and GPU technology.
  • A good technical understanding of generative artificial intelligence, high-performance computing, and database analytics.
  • A solid understanding of machine learning, deep learning, artificial intelligence platforms, and ecosystems.
  • Ability to work across internal functional areas, including engineering, sales, marketing, and executives, and with external partners, customers, and content developers.

Responsibilities

  • Lead and develop NVIDIA developer strategy with a multifunctional team across product, engineering, applied research, marketing, and sales.
  • Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the artificial intelligence and generative artificial intelligence space.
  • Lead strategic relationships with influential researchers, leading product teams, and developers focused on new initiatives.
  • Establish strategic relationships with partner and cloud service provider engineering leads and developers, and support their success.
  • Turn feature requests into actionable engineering and product direction.
  • Understand application workflows and architectural requirements to enable acceleration of GPU-based workloads.
  • Integrate NVIDIA GPU acceleration into cloud service provider applications.
  • Monitor the competitive landscape and communicate relevant information internally.
  • Create strategic partnerships and build community by attending research conferences and hosting technical meetups.
  • Host developer summits focused on artificial intelligence, deep learning, high-performance computing, and professional visualization.
  • Participate in industry events to speak, collect requirements, establish relationships, and showcase NVIDIA GPU-accelerated solutions.

Desired Qualifications

  • Demonstrated interpersonal skills and evidence of ability to represent NVIDIA externally.
  • Social, planning, and prioritization skills.
  • A self-starting approach, a growth orientation, and a passion for continuous learning.

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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