Principal Software Engineer

Microsoft Azure Artificial Intelligence/High Performance Computing (AI/HPC) team is looking for systems engineers, architects and thought leaders 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 Principal 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.

• Partner with appropriate stakeholders to determine user requirements for a set of scenarios.
• Lead identification of dependencies and the development of design documents for a product, application, service, or platform, primarily catering towards exhaustive health monitoring of AI training supercomputers.
• Build AI Supercomputer observability solutions at scale, with deep focus on actionability to improve availability and reliability of supercomputers.
• Lead by example and mentor others to produce extensible and maintainable code used across products.
• Leverage subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple groups' project plans, release plans, and work items.
• Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seek new knowledge and adapt 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 and share knowledge with other engineers.

Required Qualifications:

• Bachelor'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.

Other Qualifications:

• 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.

Preferred Qualifications:

• Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 2+ years of experience in building observability solutions
• 3+ years of specialized experience with one of AI/HPC system management OR High-Speed Networks OR HPC Storage OR managing Cloud Infrastructure
• Operational experience running large scale HPC systems or infrastructure situated in Cloud environments.
• Previous experience with running and troubleshooting HPC/AI workloads on GPU-based HPC systems, AI assisted software development and secure software design practices.
• Expertise in Cloud Computing, Virtualization and Container Technologies.
• Proven ability and eagerness to work across and partner with multiple engineering teams to achieve business goals.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.