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Capacity & Efficiency Infrastructure at Microsoft - ApplyBlast

Capacity & Efficiency Infrastructure

Microsoft

1 month ago

4.0 on Glassdoor

Mountain View, California, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

Microsoft AI is seeking a Member of Technical Staff to improve the efficiency of its compute fleet by building software and mathematical models for measuring capacity usage. The role involves developing tools and techniques to enhance performance, partnering with ML researchers to scale research recipes, and ensuring the reliability of thousands of GPUs across the supercomputing fleet. This position requires expertise in profiling, benchmarking, debugging, and optimizing distributed training infrastructure for large-scale GPU clusters.

Responsibilities

Design and optimize distributed training infrastructure for large-scale GPU clusters
Profile and debug performance bottlenecks across compute, memory, and networking subsystems
Build telemetry systems to monitor infrastructure and ML model performance metrics

Skills

Qualifications

Bachelor's Degree in Computer Science

About Microsoft

microsoft.com

Headquarters

Redmond, Washington, United States

Company Size

10001+ employees

Founded

1975

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