Data Center Gpu Performance Engineer – Product

Invidia

Us, CA, United States
Base: 148,000 usd - 224,250 usd for level 3; 168,0...
Gpu architecture expertise
Data center workload analysis
Machine learning and deep learning knowledge
NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing

Job Summary

  • NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing.
  • The role involves guiding the architecture of next-generation GPUs by understanding how GPU architecture affects performance for datacenter applications, especially Large Language Models.
  • NVIDIA offers highly competitive salaries and a comprehensive benefits package, and is widely considered one of the technology world’s most desirable employers.

Matching Summary

NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing.

Salary

Base: 148,000 USD - 224,250 USD for Level 3; 168,000 USD - 258,750 USD for Level 4; Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • GPU architecture expertise
  • Data center workload analysis
  • Machine Learning and Deep Learning knowledge
  • Product definition for GPUs
  • Performance modeling for AI workloads

Nice-to-have

  • Experience with Large Language Models
  • Ability to develop economic models for data centers
  • Collaboration with diverse technical teams
  • Keeping updated with deep learning research
  • Managing multiple parallel projects

Key Requirements

  • 5+ years technology experience
  • BS or MS in engineering or computer science
  • Deep understanding of GPU and AI fundamentals
  • Ability to contribute fully within 3 months
  • 2+ years experience with large scale GPU AI applications
  • MBA is a plus

Work Rights

Not specified

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