Microsoft Azure is looking to build the next generation of AI training, AI inferencing, virtual desktop, video, and gaming infrastructure for Azure customers. This involves designing and delivering differentiating customer features and fundamental building blocks at the heart of the Azure platform, with a focus on enabling end-to-end new scenarios and supporting significant growth.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript or Python
- 2+ years of experience in HPC or Machine Learning.
- Familiarity with Deep Learning, AI Infrastructure, Accelerators.
- 1+ years experience on Distributed Systems, High Performance Computing / Machine Learning middleware, Co-Designing Hardware-Software, Profiling and Performance Analysis Tools.
Responsibilities
- Designing and delivering the next generations of AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure.
- Defining, deploying and sustaining hardware and software Azure infrastructure for AI and other GPU-based workloads.
- Focusing on hardware/software interaction, coding and playing with next-gen hardware, end-to-end systems engineering anywhere in the infrastructure - from fiber networking, switches, gpu differentiation, rack design, cluster design and more.
- Creating, 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 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.
- Help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads.
- Help building a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.
Other
- Willing to dive deeply into any level or layer of a problem.
- Willing to learn emerging technologies, from hardware to software.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Microsoft will accept applications for the role until October 20th, 2025
