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Principal AI and ML Infra Software Engineer, GPU Clusters at NVIDIA · Santa Clara, CA +1 more · Joined
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Principal AI and ML Infra Software Engineer, GPU Clusters

NVIDIA · Santa Clara, CA +1 more · Just now · 0 applicants
NewOn-siteFull-timeLead
Pay
$272k–$431kListed
Workplace
On-site
Job type
Full-time
Level
Lead
Source: jobright · Posted by joined-scrapper

About the role

NVIDIA seeks a Principal AI and ML Infra Software Engineer to optimize large-scale GPU cluster infrastructure for AI and ML research. The role focuses on identifying efficiency bottlenecks, improving performance and resource utilization, and leading scalable infrastructure enhancements with research and engineering teams.

What you’ll do

  • Improve infrastructure for AI and ML researchers on GPU clusters
  • Identify infrastructure needs and efficiency bottlenecks
  • Optimize performance and resource utilization
  • Lead scalable infrastructure improvements
  • Collaborate with research and engineering teams
  • Supervise and improve distributed training operations

What you’ll need

  • BS in Computer Science or related area (or equivalent experience)
  • 15+ years of demonstrated expertise in AI/ML and HPC tasks and systems
  • Hands-on experience operating HPC-grade infrastructure and accelerated computing
  • Knowledge of storage, scheduling/orchestration, high-speed networking, and container technologies
  • Proficiency in Python, Go, Bash and cloud computing platforms
  • Strong communication and collaboration skills

Original job description

NVIDIA is seeking a Principal AI and ML Infra Software Engineer to improve infrastructure for AI and ML researchers working on GPU clusters. The role focuses on identifying infrastructure needs and efficiency bottlenecks, optimizing performance and resource utilization, and leading scalable infrastructure improvements in collaboration with research and…

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