Senior Solutions Architect, Generative Ai Deployment And Aiops

Nvidia Corporation

Multiple Locations
Base: 184,000 usd - 287,500 usd; bonus/equity: equ...
On-site
Generative ai and llms
Gpu technologies
Deep learning frameworks
NVIDIA is seeking a Senior Solutions Architect for Generative AI Deployment and AIOps to support customers in building solutions with their latest AI technology. The ideal candidate should have extensive experience in deep learning frameworks, GPU technologies, and excellent communication skills. This position offers the opportunity to work in a dynamic environment with cutting-edge technology

Job Summary

  • You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs).
  • You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software.
  • This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Solutions Architect for Generative AI Deployment and AIOps to support customers in building solutions with their latest AI technology. The ideal candidate should have extensive experience in deep learning frameworks, GPU technologies, and excellent communication skills. This position offers the opportunity to work in a dynamic environment with cutting-edge technology.

Salary

Base: 184,000 USD - 287,500 USD; Bonus/Equity: Equity; Benefits: Benefits

Skills & Requirements

Must-have

  • Generative AI and LLMs
  • GPU technologies
  • Deep Learning frameworks
  • Python programming
  • Kubernetes environments
  • AI inference workloads

Nice-to-have

  • DL training at scale
  • NVIDIA GPUs and software libraries
  • C/C++ programming skills
  • parallel programming
  • distributed computing platforms

Key Requirements

  • 8+ years of hands-on experience
  • BS, MS, or PhD in Computer Science or related fields
  • Proficiency in problem-solving and debugging skills
  • Experience with containerization and orchestration technologies
  • Excellent knowledge of LLM and DL inference

Work Rights

Not specified

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