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 AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will part of delivering an end-to-end vertical view, with 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 Artificial Intelligence (AI) and other Graphics Processing Unit (GPU)-based workloads. The work for this position is focused on deploying and operating infrastructure components critical to next-generation AI workloads. From measuring and optimizing high-speed networking performance and reliability, integrating with multiple core Azure services, designing and implementing automated infrastructure buildout and recovery systems, to working with the latest and greatest technology stacks driving the AI revolution. This position puts the right candidate in position to deliver unparalleled impact. 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. **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. + Produce 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.  + 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. **Qualifications** **Required/Minimum Qualifications:** + Bachelor's Degree in Computer Science or related technical field AND 2+ 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 working directly with customers - optimizing systems, troubleshooting, RCAs, and benchmarking + 2+ years of full stack benchmarking experience - hardware, tool creation, data analysis, and recommendations **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. **Additional or Preferred Qualifications:** + Bachelor's Degree in Computer Science + OR related technical field AND 4+ 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 August 8, 2025. \#azurecorejobs 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) .