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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Computer Aided Engineering

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

About the Job

Requirements

  • At least 8 years of experience developing, or working with developers of, software tools for computer-aided engineering practitioners, preferably with a computer-aided engineering independent software vendor.
  • A track record of defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.
  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
  • A Master of Science or PhD in Computer Science or Engineering, or equivalent experience.

Responsibilities

  • Create technical engagements with independent software vendors across the engineering design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers, and influential researchers.
  • Inform NVIDIA’s product strategy for computer-aided engineering workflow acceleration by working with Product, Engineering, Marketing, Applied Research, and other teams.
  • Use technical expertise to discover high-impact problems NVIDIA can uniquely solve that create new market paradigms.
  • Drive early adoption of new products and support launch and go-to-market activities.
  • Activate relationships with higher education and research institutions and speak at relevant scientific, technical, and industry conferences.

Desired Qualifications

  • Experience creating simulation tools, virtual twins, and solutions for computer-aided engineering, high-performance computing, applied machine learning, or deep learning.
  • Experience working closely with product management and business development to define product and go-to-market strategy.
  • Experience with artificial intelligence physics models and model architecture, including developing, defining, training, and deploying open or proprietary models.
  • Experience with NVIDIA products and software development kits, including CUDA, CUDA-X Libraries, PhysicsNeMo, and Omniverse.

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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