Principal Software Engineer

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Azure High Performance Computing and AI Platform (HPC/AI) group is the team behind Azure’s 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 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 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, working on architectural proposals, and collaborating with our internal and industry partners.

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

We are looking for someone who is passionate about quality, wants the customer to succeed and get things done. You will join a phenomenal team of hardworking engineers with deep experience with replication systems, highly available systems, large scale algorithms, dynamic and high-performance solutions at massive scale.

It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to support the next 100X growth.

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. #azurehpcai

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.
• 2+ years of experience in HPC or Machine Learning

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:

• Bachelor's Degree in Computer Science
• OR related technical field AND 10+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

• Machine Learning & AI Expertise
  Familiarity with ML concepts, AI infrastructure, and accelerators; experience with HPC/ML middleware and profiling/performance analysis tools.

• Systems & Virtualization
  Strong understanding of operating systems fundamentals, virtualization technologies, and distributed systems.

• Hardware-Software Co-Design
  Experience in co-designing hardware and software for optimized performance.

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

Microsoft will accept applications for the role until November 14th, 2025.

#azurecorejobs

• Willing to learn emerging technologies, from hardware to software. Evaluate and make recommendations that advance Azure infrastructure for AI and other GPU-based workloads.
• Leads by example within the team by producing extensible and maintainable. 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.
• 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 building a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.