Partner Solutions Architect – Nordics

NVIDIA NVIDIA · Semiconductors · Finland +2 · Remote

This role is for a Partner Solutions Architect who will promote NVIDIA's accelerated computing solutions, including AI/ML, hybrid cloud, and simulation, to partners in the Nordics region. The architect will provide pre-sales support, conduct workshops, and help partners develop end-to-end solutions using NVIDIA's AI software and infrastructure. The role requires strong technical sales, communication, and partner-facing experience, with an understanding of the full stack from AI applications to data center needs.

What you'd actually do

  1. Actively promote the NVIDIA culture with partners & customers.
  2. Activate & enable partners through hands-on workshops and ideation.
  3. Expand partner capabilities with pre-sales support on existing and new technologies.
  4. Build and nurture an active community of Subject Matter Experts in the partner landscape across EMEA.
  5. Foster learning and development by sharing feedback, guidance and knowledge with sales and product specialists.

Skills

Required

  • 5+ years of experience and confidence in partner facing technical roles
  • Channel experience, with strategic advisory and partnership development
  • Excellent communication and interpersonal skills
  • Understand the full stack from AI Apps & Workflows to AI Factories
  • Excellent presentation skills
  • good written and verbal English and a European 2nd Language

Nice to have

  • Experience with AI, DL/ML frameworks and apps
  • C or Python programming
  • hypervisors and virtualization
  • cloud services
  • Cluster Management and job scheduling software
  • Linux
  • Some history of public talks, presentations and trainings, video blogs, or any other demonstration of your desire to educate, fascinate and evangelize
  • Hands-on experience with one or more NVIDIA frameworks, SDKs or platforms

What the JD emphasized

  • partner facing technical roles
  • technical conversations that solve problems is critical
  • Understanding the full stack from AI Apps & Workflows to AI Factories
  • understanding, learning, and using their tools and methods is crucially important