Software Engineer II

In Azure Specialized, we are collaboratively working to bring the next generation of workloads to our Public Cloud platform. We work together across Microsoft to enable end-to-end new scenarios for Azure customers. Our team imagines and builds differentiating customer features and fundamental building blocks at the heart of the Azure platform, working collaboratively with many industry partners.

As a "Software Engineer II", you will be critical in designing and delivering the next generations of Artificial Intelligence (AI) training, AI inferencing, virtual desktop, video, and gaming infrastructure for Azure. You will be challenged across various hardware architectures, network types, and processor types. You will help define and deliver an end-to-end vertical view with a continuous focus on customer value, quality, performance, and automation.

This position involves deep technical work, focusing on defining, deploying, and sustaining hardware and software Azure infrastructure for AI and other Graphics Processing Unit (GPU)-based workloads. The work for this position focuses on hardware/software interaction, coding and playing with next-gen hardware, and end-to-end systems engineering anywhere in the infrastructure - from fiber networking, switches, GPU differentiation, rack design, cluster design, and more. This position offers a unique opportunity to have a huge impact on customers and the world. 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 develop 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. 

• Willing to dive deeply into any level or layer of a problem.
• 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 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.
• Maintains communication with key partners across the Microsoft ecosystem of engineers. Ensures alignment with partners' expectations. Considers partner teams across organizations and their end goals for products to drive and achieve desirable user experiences and fit the dynamic needs of partners/customers through product development.
• Drives identification of dependencies and developing design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on calls to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status, and initiating actions to restore system/product/service for simple and complex problems when appropriate.
• Your mission will be to help ensure the Azure platform is consistent in performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from 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.
  
  

  Other:

  • • Embody our culture and values.