Senior Software Engineer

Microsoft

21d

About The Position

Microsoft Azure Artificial Intelligence/High Performance Computing (AI/HPC) team is looking for software engineers to enable customers in deploying, monitoring, profiling, and debugging their application 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 cloud applications and services to find operational gaps and instrument features to achieve the smooth operation and management 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.

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.
• 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.

Nice To Haves

• 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 OR 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 equivalent experience.
• 1+ years previous experience with running and troubleshooting machine learning workloads on GPU-based HPC systems.
• 1+ years experience with Cloud Computing, Virtualization and Container Technologies.
• Familiarity with AI/HPC workloads, GPU-based systems, AI assisted software development and secure software design practices.

Responsibilities

• Collaborate with appropriate stakeholders to determine user requirements for a scenario.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Independently uses appropriate artificial intelligence tools and practices across the software development lifecycle to create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverage 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.
• Act 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees