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Azure High Performance Computing and Artificial Intelligence (AI) Platform (HPC/AI) group is the team behind Azures cloud offering that powers some of the most demanding and largest scale AI training and inference workloads in the industry. The virtual machine (VM) series that our team owns combine cutting edge Graphics Processing Units (GPUs) and accelerators, as well as a state-of-the-art scale-out network infrastructure to enable these workloads. We collaborate with many Microsoft teams and our industry partners to design and bring up the underlying platform, and we build the software to expose this platform as an Azure service.

As a Principal Software Engineer in the Azure HPC/AI team, you will play a critical role in designing and delivering the next generations of our platform by solving technical problems at all levels of the stack, contributing to our codebases to enable new features on our VMs, working on architectural proposals, and collaborating with our industry partners.

We are looking for a Principal Software Engineer who is committed to quality, wants the customer to succeed and gets things done. You will join a phenomenal team of hardworking engineers with deep experience in high performance computing, cloud infrastructure, operating systems, machine learning, and software engineering in general.

This position involves deep technical work that primarily focuses on hardware/software interactions, device virtualization, and performance analysis of GPU workloads in VMs. Since our team is also responsible for the vertical integration of our VM offerings, you will also have the opportunity to work with upper layers of the Azure infrastructure software.

It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to fuel the next growth wave. This position offers a unique opportunity to have a huge impact on Microsofts AI infrastructure and AI initiatives.

Microsofts 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.

Responsibilities

• Analyzes functionality, integration, and performance issues at various levels of the HW/SW stack 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. When appropriate drives internal partner teams or industry partners to implement such solutions.

• Leads by example within the team by producing extensible and maintainable code. 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), and mentors other engineers across products/solutions, working as on-call to monitor system/product/service for degradation, downtime, or interruptions.

• Develops a playbook for the team to resolve issues.

• Coordinates people and resources to ensure DRI responsibilities are covered across teams

• Maintains communication with key partners across the Microsoft ecosystem of engineers.

• Acts as a key contact for leadership to ensure alignment with partners' expectations. Considers partner teams across organizations and their end goals for products to drive and achieve desirable user experiences and fitting dynamic needs of partners/customers through product development.

• Your mission will be to help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads. You will help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.

• Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values) .

Qualifications

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, or Python

• OR equivalent experience

• 2+ years of experience in High Performance Computing (HPC) or Machine Learning

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.

Preferred Qualifications:

• Masters or PhD degree in computer science or related areas

• Familiarity with Machine Learning and AI Infrastructure

• Familiarity with Operating Systems fundamentals and virtualization technologies

• Experience developing and/or debugging low level system software

• Experience with Profiling and Performance Analysis Tools

• Familiarity with Cloud Computing technologies

• Experience in Distributed Systems

• Experience in High Performance Computing / Machine Learning frameworks and middleware

• Experience in Co-Designing Hardware-Software

• Familiarity with Hardware Accelerators

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .