Senior Solutions Architect, Gpu - Cloud Service Providers

Nvidia Corporation

Multiple Locations
Base: 184,000 usd - 287,500 usd (level 4); 224,000...
On-site
Ai/ml and hpc software solutions
Nvidia software and hardware technologies
Customer technical point of contact
Nvidia Corporation is seeking a Senior Solutions Architect specializing in GPU technologies for cloud service providers. The successful candidate will work with major tech companies to develop AI/ML and HPC software solutions, acting as a technical liaison for customers while identifying business opportunities

Job Summary

  • Join NVIDIA and help bring AI solutions to our largest customers by assisting them in building AI/ML and HPC software solutions at scale.
  • Serve as the main technical point of contact for customers developing intricate AI infrastructure, offering support in understanding performance aspects for large scale LLM training and inference.
  • Collaborate with customers to build Proof of Concepts (PoCs) for solutions addressing critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Senior Solutions Architect specializing in GPU technologies for cloud service providers. The successful candidate will work with major tech companies to develop AI/ML and HPC software solutions, acting as a technical liaison for customers while identifying business opportunities.

Salary

Base: 184,000 USD - 287,500 USD (Level 4); 224,000 USD - 356,500 USD (Level 5); Bonus/Equity: Equity eligible; Benefits: Benefits eligible

Skills & Requirements

Must-have

  • AI/ML and HPC software solutions
  • NVIDIA software and hardware technologies
  • customer technical point of contact
  • AI infrastructure development
  • LLM training and inference performance
  • Proof of Concepts (PoCs) development
  • cloud service integration

Nice-to-have

  • Deep Learning frameworks
  • NVIDIA libraries
  • LLM developments
  • NVIDIA hardware and software
  • DevOps/MLOps technologies

Key Requirements

  • BS/MS/PhD or equivalent experience
  • 8+ years of engineering experience
  • Hands-on performance benchmarks for data center systems
  • Understanding of systems architecture
  • Effective engineering program management
  • Clear communication skills

Work Rights

Not specified

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