Solutions Architect, Ai And Ml

Invidia

Multiple Locations
Base: 124,000 usd - 195,500 usd for level 2, 152,0...
Gpu hardware and software expertise
Cloud computing environments experience
Deep learning frameworks tensorflow or pytorch
NVIDIA is building the world’s leading AI company and seeks a Solutions Architect to drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on customer business needs

Job Summary

  • NVIDIA is building the world’s leading AI company and seeks a Solutions Architect to drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on customer business needs.
  • The role involves working closely with cloud service providers, customers, and internal teams to build and deploy AI/ML solutions at scale using NVIDIA’s AI software on cloud-based GPU platforms.
  • NVIDIA offers competitive base salaries, equity, benefits, and a diverse and inclusive work environment with opportunities for creativity and autonomy.

Matching Summary

NVIDIA is building the world’s leading AI company and seeks a Solutions Architect to drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on customer business needs.

Salary

Base: 124,000 USD - 195,500 USD for Level 2, 152,000 USD - 241,500 USD for Level 3; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • GPU hardware and software expertise
  • Cloud computing environments experience
  • Deep learning frameworks TensorFlow or PyTorch
  • AI/ML solution deployment at scale
  • Scripting language proficiency (Python)
  • DevOps/ML Ops technologies knowledge

Nice-to-have

  • AWS, GCP or Azure certification
  • Hands-on NVIDIA GPUs and SDKs experience
  • System-level GPU-based systems knowledge
  • Parallel programming and distributed computing familiarity
  • Strong communication and presentation skills

Key Requirements

  • 3+ years Solutions Engineering or similar experience
  • 3+ years experience in Deep Learning and Machine Learning
  • BS/MS/PhD in relevant engineering or science fields or equivalent experience
  • Experience deploying solutions on AWS, GCP, or Azure
  • Ability to communicate technical ideas clearly

Work Rights

Not specified

Tailored Resume

Cover Letter