Manager, Gpu Accelerated Data Analytics

Invidia

Multiple Locations
Base: 224,000 usd - 356,500 usd for level 3, 272,0...
Hybrid
Gpu parallel programming with cuda
Low-level performance optimization
C/c++ programming fluency
This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs

Job Summary

  • This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs.
  • Core responsibilities include driving innovation through research and development, leading software design decisions, and fostering a collaborative and innovative team culture.
  • NVIDIA is widely considered one of the technology industry's most desirable employers, offering competitive salary, equity, and benefits while promoting diversity and inclusion.

Matching Summary

This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs.

Salary

Base: 224,000 USD - 356,500 USD for Level 3, 272,000 USD - 431,250 USD for Level 4; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • GPU parallel programming with CUDA
  • Low-level performance optimization
  • C/C++ programming fluency
  • CPU and GPU architecture expertise
  • Engineering leadership experience
  • Cross-functional collaboration

Nice-to-have

  • Distributed high-performance data analytics
  • Experience with SQL or vector databases
  • Modern data center network and storage knowledge
  • Building high-performing engineering teams
  • Strong communication and presentation skills

Key Requirements

  • MS or PhD in Computer Science or related field
  • 7+ years relevant experience
  • 4+ years technical role experience
  • 3+ years engineering leadership experience
  • Hands-on GPU parallel programming experience
  • Proven track record in team building
  • Excellent communication skills

Work Rights

Not specified

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