Azure Specialized is working to bring the next generation of workloads to the Public Cloud platform, and this role is critical in designing and delivering the next generations of AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure.
Requirements
- Coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Experience with data science, including work with machine learning models, statistical analysis, or data-driven product development
- Experience developing tools or software systems for distributed cloud computing environments and/or HPC/AI infrastructure
- Knowledge of hardware architectures, network types and processor types
- Experience with GPU-based workloads
- Experience with Azure infrastructure
- Experience with emerging technologies, from hardware to software
Responsibilities
- 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. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).
- Drives identification of dependencies and the development of 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 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
- Maintains communication with key partners across the Microsoft ecosystem of engineers.
Other
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
- Travel requirements not specified
- Clearance requirements not specified
- Degree requirements: Bachelor's, Master's or equivalent experience
