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Microsoft Azure AI Inference platform is the next generation cloud business positioned to address the growing AI market. We are on the verge of an AI revolution and have a tremendous opportunity to empower our partners and customers to harness the full power of AI responsibly. We offer a fully managed AI Inference platform to accelerate the research, development, and operations of AI powered intelligent solutions at scale. This team owns the hosting, optimization, and scaling the inference stack for all the Azure AI Foundary models including the latest and greatest from OpenAI, Grok, DeepSeek, and other OSS models.

Do you want to join a team entrusted with serving all internal and external ML workloads, solve real world inference problems for state-of-the-art large language (LLM) and multi-modal Gen AI models from OpenAI and other model providers? We are already serving billions of inferences per day on the most cutting-edge AI scenarios across the industry. You will be joining the **CoreAI** **Inferencing team** , influencing the overall product, driving new features and platform capabilities from preview to General Availability, and many exciting problems on the intersection of AI and Cloud.

We’re looking for a **Principal Software Engineer** **- Azure AI Inferencing** to drive the design, optimization, and scaling of our inference systems. In this role, you’ll lead engineering efforts to ensure our largest models run with exceptional efficiency in high-throughput, low-latency environments. You will get to work on and influence multiple levels of the AI Inference data plane stack.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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

+ Lead the design and implementation of core inference infrastructure for serving frontier AI models in production.

+ Identify and drive improvements to end-to-end inference performance and efficiency of OpenAI and other state-of-the-art LLMs.

+ Lead the design and implementation ofefficient load scheduling and balancing strategies, by leveraging key insights and features of the model and workload.

+ Scale the platformto support the growinginferencingdemand andmaintain high availability.

+ Deliver critical capabilities required to serve the latest and greatest Gen AI models such as GPT5, Realtime audio, Sora, and enable fast time to market for them.

+ Drive generic features to cater to the needs of customers such as GitHub, M365, Microsoft AI and third-party companies.

+ Collaborate with our partners both internal and external.

+ Mentor engineers on distributed inference best practices.

+ Embody Microsoft's Culture  (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture) .

Qualifications

Required/Minimum 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, or Golang

+ OR equivalent experience.

+ 4+ years’ practical experience working on high scale, reliable online systems

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.

Preferred/Additional Qualifications

+ Technical background and foundation in software engineering principles, distributed computing and architecture

+ Experience in real-time online services with low latency and high throughput

+ Experience working withL7 network proxies and gateways

+ Knowledge in Network architecture and concepts (HTTP and TCP Protocols, Authentication and Sessions etc)

+ Knowledge and experience in OSS, Docker, Kubernetes, C++, Golang, or equivalent programming languages

+ Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

+ Ability to independently lead projects

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 posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

\#AIPlatform

\#CoreAI

\#** **azureai

\#** **coreai

\#** **genai

\#aiinference

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) .