below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$149,500–$178,175
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$164k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
As a Senior Software Engineer on the GPU infrastructure team, you will design and build the operator layer that transforms raw GPU hardware into dependable, service-callable Azure capacity. You will own the architecture for provisioning, repairing, and managing bare-metal GPU servers, specifically focusing on BMC and Redfish management interfaces, PXE-based imaging, DPU initialization, and network switch fabrics. Your daily work involves writing extensible, secure code for bare-metal automation, building telemetry for zero-touch provisioning, and resolving live-site incidents. You will utilize languages such as C, C++, C#, Java, JavaScript, or Python to develop distributed systems and control planes. This role solves the technical challenge of managing large-scale GPU fleets by creating a concurrency-safe boundary that eliminates race conditions during automated hardware workflows.
What does a Software Engineer earn in Remote?
Median $208800 from 354 postings across 50 companies.
Design and own the architecture for provisioning and managing third-party GPU servers.
Write extensible, secure, and well-tested code for bare-metal automation including firmware and network configuration.
Mentor other engineers on coding patterns, code reviews, and maintaining high quality standards.
Serve as a designated responsible individual to resolve live-site incidents and drive root-cause fixes.
Apply AI tools and practices across the software development lifecycle while ensuring the safety of AI-generated assets.
Build automation, telemetry, and monitoring systems to enable zero-touch provisioning of GPU fleets at scale.
Transform existing operator tooling into a concurrency-safe, service-callable boundary for automated workflows.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
Master's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Bachelor's Degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
5+ years of experience building or operating large-scale distributed systems or control planes (preferred).
5+ years of experience with Linux systems programming and networking fundamentals (preferred).
Distributed Systems
Cloud-Native
C
C++
C#
Java
Python
Go
Rust
JavaScript
CI/CD
Infrastructure as Code
RDMA
InfiniBand
Ethernet
GPU
HPC
SmartNICs
DPUs
NVLink
NVSwitch