Senior Data Center Performance Engineer - Benchmarking And Optimization

Invidia

Multiple Locations
Base: 184,000 usd - 287,500 usd for level 4, 224,0...
Performance benchmarking strategies
Gpu computing and parallel programming
Performance profiling tools proficiency
NVIDIA is tapping into the unlimited potential of AI to define the next era of computing where GPUs act as the brains of computers, robots, and self-driving cars

Job Summary

  • NVIDIA is tapping into the unlimited potential of AI to define the next era of computing where GPUs act as the brains of computers, robots, and self-driving cars.
  • The role involves designing and executing comprehensive performance benchmarking strategies and working closely with cross-functional teams to resolve performance issues.
  • The company offers a competitive base salary range, equity, and benefits while fostering a diverse and inclusive work environment.

Matching Summary

NVIDIA is tapping into the unlimited potential of AI to define the next era of computing where GPUs act as the brains of computers, robots, and self-driving cars.

Salary

Base: 184,000 USD - 287,500 USD for Level 4, 224,000 USD - 356,500 USD for Level 5; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Performance benchmarking strategies
  • GPU computing and parallel programming
  • Performance profiling tools proficiency
  • HPC networking technologies
  • Programming in Python, C++, shell scripting
  • System tuning and configuration optimization

Nice-to-have

  • Experience with AI/ML frameworks
  • Knowledge of distributed training and inference
  • Familiarity with containers and cloud provisioning
  • Understanding of storage systems and I/O performance
  • Experience with AI code generation tools

Key Requirements

  • M.S. or Ph.D. in Computer Science or related field
  • 8+ years experience in performance engineering or system architecture
  • Strong analytical and problem-solving abilities
  • Effective communication skills with global teams

Work Rights

Not specified

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