Senior Software Engineer Job at Microsoft Corporation (Multiple Locations)

Senior Software Engineer

Microsoft Corporation

Location:
United States , Multiple Locations

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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Job Description:

Microsoft Azure High Performance Computing & AI Engineering (HPC & AI Eng) team is responsible for managing the core platform & fleet of AI High Performance Computing products that customers use to run their most performant and demanding workloads. The AI Customer Experience (AICE) engineering team within the HPC & AI Eng. team is on the frontlines managing the flagship supercomputers used by top tier AI customers that enable breakthroughs such as ChatGPT and are highlighted in Top500, MLPerf and Graph500 rankings. Operating at supercomputing scale requires specialized tools and techniques to ensure system reliability, runtime performance, and job health, while continuing to meet customer Service Level Agreements (SLAs). As a Senior Supercomputing Software & Systems Engineer, you will be responsible for diagnosing & troubleshooting the largest scale supercomputing systems across the infrastructure stack (GPU hardware, networking, datacenter and core software). In this role, you will develop and apply advanced tools, identify operational gaps, and implement features that support the smooth operation of cloud-native supercomputers. This opportunity will give you hands-on experience developing capabilities to manage the largest scale of supercomputers delivered to our customers.

Job Responsibility:

Collaborates with appropriate stakeholders to determine user requirements for a scenario
Drives identification of dependencies and the development of design documents for a product, application, service, or platform
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI)
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items
Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale

Requirements:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python OR equivalent experience
3+ years of experience in operating AI/HPC systems, developing and running AI/HPC applications on clusters, or operating Cloud Infrastructure
2+ years of specialized experience with one of AI/HPC system management OR High-Speed Networks OR HPC Storage OR managing Cloud Infrastructure
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Nice to have:

Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
1+ year(s) of experience running and troubleshooting machine learning workloads on Graphics Processing Unit (GPU)-based High Performance Computing (HPC) systems, including familiarity with the HPC software stack
1+ year(s) of experience with cloud computing, virtualization, and container technologies

Additional Information:

Job Posted:
February 10, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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