[Remote] Software Engineer

Note: The job is a remote job and is open to candidates in USA. Microsoft is responsible for Azure’s cloud infrastructure that supports large-scale artificial intelligence workloads. As a Software Engineer in the Azure High Performance Computing and Artificial Intelligence team, you will enhance GPU-based virtual machine offerings and design future generations of the platform.

Responsibilities

• Analyzes functionality, integration, and performance issues at various levels of the HW/SW stack and on current and future generations of AI training platforms
• Designs and codes solutions that improve functional correctness, stability and performance of AI training oriented VM offerings and related services
• Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices
• Holds accountability as a Designated Responsible Individual (DRI), working as on-call to monitor system/product/service for degradation, downtime, or interruptions
• Help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads
• Help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality

Skills

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
• Bachelor's Degree in Computer Science OR related technical field AND 1+ year(s) 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 with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 1+ year(s) with Machine Learning, AI Infrastructure, Operating Systems fundamentals and virtualization technologies
• 1+ year(s) experience in analyzing and troubleshooting large-scale distributed systems
• 1+ year(s) experience on High Performance Computing / Machine Learning middleware

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