Senior Supercomputing Software Engineer

Microsoft Azure Artificial Intelligence/High Performance Computing (AI/HPC) team is looking for systems engineers to enable customers in deploying, monitoring, profiling, and debugging their applications on hyperscale cloud infrastructure. Azure is enabling the largest supercomputing deployments to tackle complex computational problems in public cloud, evident from the various HPC products that have already made the mark on Top500, MLPerf and Graph500 rankings.

At this supercomputing scale, we need specialized tools and techniques to maintain the reliability, runtime performance, health of the system and running jobs continuing to meet the Service Level Agreements (SLAs) of customers. Your job would be to build and use state-of-the-art tools and techniques, find operational gaps and instrument features to achieve the smooth operation of cloud-native supercomputers. As a Senior Supercomputing Engineer, you would also bring to the table establishing best practices drive architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact business goals of a wide range of users and facilitate the next wave of growth and innovation in AI, and HPC in the cloud in general.



Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• Bachelor's Degree in Computer Science or related technical or scientific field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, 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.

Other Requirements:  

• 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 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. 
• Previous experience with running and troubleshooting machine learning workloads on GPU-based HPC systems.
• Experience with Cloud Computing, Virtualization and Container Technologies.
• Familiarity with the HPC software stack.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until December 25, 2024.

#azurecorejobs

• Be part of a comprehensive systems management team focused on operational excellence and customer success.
• Build tools and analyze key system metrics and telemetry to proactively identify and debug HPC system issues.
• Partner with customers, vendors, and other teams within Azure to drive comprehensive solutions for operating world class Supercomputers in the public cloud environment.
• Help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads.
• Contribute to a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.