This role pays more than
60%
of similar roles. Most pay
$177,587–$231,000
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$204k
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
633 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 621 roles with salary data.
As a Principal Software Engineer, AI Infra Management and Ops, you will join a team building foundational platform capabilities for large-scale distributed systems and accelerated computing environments. You will lead the design and evolution of cloud-native platforms, infrastructure services, and resource orchestration while advancing practices like CI/CD, Infrastructure as Code, and automated service lifecycle management. Your daily work involves collaborating across engineering teams to shape technical strategy for compute, networking, storage, and observability. The role focuses on solving complex problems in Artificial Intelligence infrastructure, High Performance Computing, and GPU platforms. You will work with technologies including C, C++, C#, Java, Python, Go, and Rust, while engaging with hardware components like InfiniBand fabrics, RDMA, SmartNICs, DPUs, and bare-metal systems to ensure reliable, scalable performance for business-critical workloads across large-scale datacenter environments.
What does a Software Engineer earn in Remote?
Median $203391 from 376 postings across 52 companies.
ROCm
CUDA
OpenCL
GPU Architecture
CPU Architecture
Diffusion
MoE
Compiler
Operating Systems
Performance Engineering
Hardware/Software Co-design
AI/ML Frameworks
Open Source
Python
AI Infrastructure
Machine Learning
Cloud Platforms
Distributed Systems
SRE
Observability
System Design
SDKs
Automated Testing
Infrastructure Engineering
Generative AI