This role pays more than
71%
of similar roles. Most pay
$150,000–$189,212
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$170k
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
518 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 505 roles with salary data.
Senior Software Engineer
As part of the Artificial Intelligence and High-Performance Computing organization, this Senior Software Engineer will manage the day-to-day operations of GPU interconnect fabrics for large-scale supercomputing clusters. The role involves acting as the primary point of contact for ensuring GPU availability and training stability by leading incident triage, mitigation, and root cause analysis for complex fabric-layer failures. You will perform deep cross-stack debugging across hardware provisioning, PCIe subsystems, and GPU interactions while developing automation, telemetry tools, and operational playbooks to improve observability. The position requires proficiency in programming languages such as C, C++, C#, Java, JavaScript, or Python, along with experience in Linux systems and low-level infrastructure troubleshooting. This role addresses the critical challenge of maintaining reliable, high-performance infrastructure for compute-intensive AI workloads and large-scale distributed simulations within a cloud environment.
What does a Software Engineer earn in Remote?
Median $202482 from 339 postings across 53 companies.
Act as the primary point of contact for supercomputing clusters and GPU interconnect fabric operations.
Lead incident triage, mitigation, and root cause analysis for production issues in large-scale AI infrastructure.
Perform deep cross-stack debugging across hardware provisioning, PCIe subsystems, and GPU interactions to resolve complex failures.
Identify systemic failure patterns to develop technical guidance, troubleshooting procedures, and escalation frameworks.
Develop automation, telemetry, and diagnostic tools to improve issue detection and mean time to mitigation.
Correlate telemetry across nodes, switches, and GPU subsystems to identify the root causes of production incidents.
Partner with internal engineering teams and manufacturers to drive hardware and software fixes.
What we're looking for
Bachelor's Degree in Computer Science or related field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass the Microsoft Cloud Background Check.
Master's Degree in Computer Science or related field and 6+ years of technical engineering experience with coding (preferred).
Bachelor's Degree in Computer Science or related field and 8+ years of technical engineering experience with coding (preferred).
4+ years of experience operating high performance computing, artificial intelligence, or large-scale distributed systems in production environments (preferred).
1+ years of experience operating interconnect fabrics for HPC, AI, or large-scale distributed systems in production (preferred).
Linux systems knowledge with demonstrated experience debugging low-level infrastructure issues (preferred).
Demonstrated ability to reason across hardware, firmware, drivers, and software stacks to diagnose and resolve production issues (preferred).
Microsoft Azure
C
C++
C#
Java
JavaScript
Python
Distributed Systems
Observability
Data Processing Pipelines
Cloud Infrastructure
AI Infrastructure
Root Cause Analysis
System Design