Senior Deep Learning Performance Architect

Nvidia Corporation

Base: 184,000 usd - 287,500 usd; bonus/equity: eli...
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Deep learning workload scheduling
Parallel computing architectures
Python performance modeling
** Nvidia Corporation is seeking a Senior Deep Learning Performance Architect to develop innovative hardware architectures that enhance AI and high-performance computing applications. The ideal candidate will have extensive experience in parallel computing, analytical modeling, and proficiency in Python to build performance models. **

Job Summary

  • The role involves developing innovative hardware architectures to extend the state of the art in parallel computing performance and energy efficiency.
  • Candidates will build high-level Python simulators to model interactions between system knobs that impact performance and resiliency.
  • The position offers a base salary range of 184,000 USD to 287,500 USD along with equity and benefits.

Matching Summary

Match Score: 75

** Nvidia Corporation is seeking a Senior Deep Learning Performance Architect to develop innovative hardware architectures that enhance AI and high-performance computing applications. The ideal candidate will have extensive experience in parallel computing, analytical modeling, and proficiency in Python to build performance models. **

Salary

Base: 184,000 USD - 287,500 USD; Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • Deep Learning workload scheduling
  • Parallel computing architectures
  • Python performance modeling
  • Distributed systems experience
  • Probabilistic modeling skills

Nice-to-have

  • Large-scale job troubleshooting
  • Scheduler telemetry data knowledge
  • Kubernetes or Slurm orchestration
  • Non-technical communication skills

Key Requirements

  • MS or PhD in Computer Science or Engineering
  • 6+ years of relevant industry experience
  • 2+ years in parallel computing or distributed systems

Work Rights

Not specified

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