This role pays more than
62%
of similar roles. Most pay
$144,350–$213,962
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$179k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Member of Technical Staff – Capacity & Efficiency Infrastructure within the Microsoft AI team, you will focus on improving the management and efficiency of a large-scale compute fleet. You will develop software and mathematical models to measure capacity usage while building tools and techniques to optimize performance across thousands of GPUs in a supercomputing environment. Your daily work involves designing and optimizing distributed training infrastructure, developing telemetry systems for visibility into model performance, and profiling bottlenecks across memory, networking, and storage subsystems. You will utilize Python, C++, CUDA, Triton, NCCL, PyTorch, and JAX to solve complex problems related to large-scale machine learning and generative AI workloads. Key responsibilities include implementing distributed training parallelism, optimizing collective communication libraries for NVLink and InfiniBand topologies, and collaborating with researchers to scale advanced research recipes.
Data Center Operations
Capacity Planning
Cloud Platforms
AI
Distributed Systems
Infrastructure Telemetry
Observability
Automation
Data Analysis
Hybrid Infrastructure
Infrastructure Strategy
Capacity Governance
Data Center Operations
Capacity Planning
Cloud Platforms
AI
Infrastructure Planning
Distributed Systems
Telemetry
Observability
Automation
Infrastructure Strategy
Hybrid Infrastructure
Governance