Senior Solutions Architect - Deep Learning

NVIDIA NVIDIA · Semiconductors · Tel Aviv, Israel

Senior Solutions Architect focused on Deep Learning and Agentic AI tools, collaborating with customers to build solutions using NVIDIA technology. Responsibilities include technical sales support, integrating NVIDIA tech into HPC, championing Deep Learning internally, and developing demo solutions.

What you'd actually do

  1. Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology.
  2. Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
  3. Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community.
  4. Develop demo solutions and showcase to the AI ecosystem.

Skills

Required

  • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
  • 5+ years of experience in software development or extensive data analytics
  • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton
  • Proven Exposure to GPU technology and CUDA programming
  • Demonstrable experience in strategy, research, communications
  • Capable of working in a constantly evolving environment without losing focus
  • Committed with strong analytical and problem solving skills
  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
  • Direct experience participating in communities (expertly or as highly engaged developer)

Nice to have

  • Technical knowledge of developer digital platforms and their trends
  • Experienced working with containers, Kubernetes and MLoPS tools
  • Exposure to C, C++ and Python
  • Research background
  • Good presentation skills
  • CUDA experience highly desirable

What the JD emphasized

  • Deep Learning
  • Agentic and Physical AI tools
  • NVIDIA technology
  • GPU Computing products
  • Deep Learning
  • Data Science
  • Deep Learning software architecture and frameworks
  • GPU technology and CUDA programming

Other signals

  • GPU Computing products
  • Deep Learning
  • Data analytics
  • Agentic and Physical AI tools
  • NVIDIA technology