Senior Manager, Developer Relations - Semiconductor

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

This role focuses on developer enablement and strategic partnerships within the semiconductor manufacturing community, driving adoption of NVIDIA's platform. It involves technical engagement, relationship management, and informing product strategy.

What you'd actually do

  1. Create fruitful technical engagements across the semiconductor design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers.
  2. Inform NVIDIA's strategy for semiconductor manufacturers and ISVs by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.
  3. Use your technical expertise to discover high impact problems NVIDIA can uniquely solve that create new market paradigms.
  4. Drive early adoption of new products and support launch and go-to-market activities.
  5. Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.

Skills

Required

  • 12+ overall years of experience with semiconductor designers/manufacturers or hardware tool manufacturers
  • 5+ years people management experience
  • MS/PhD in Electrical Engineering, Computer Science or Engineering or equivalent experience
  • A track record of leading/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.

Nice to have

  • Deep understanding of advanced semiconductor technology, device and process development, fab operations, user experience with how to use foundry PDK to develop a product.
  • Developer experience creating tools and/or solutions for EDA, high-performance computing, applied machine learning, or deep learning.
  • Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
  • Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.

What the JD emphasized

  • software and semiconductor manufacturing background
  • EDA/WFE domain expertise
  • technical expertise
  • technical engagement
  • technical and relationship skills
  • technical engagements
  • technical and business alliances
  • technical audiences
  • advanced semiconductor technology
  • applied machine learning
  • deep learning
  • AI physics models
  • model architecture
  • developing
  • defining
  • training
  • deploying
  • NVIDIA products and SDKs