Principal Software Engineering Manager - AI Platform

The Artificial Intelligence (AI) Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices, and internet browsers.  We collaborate with our hardware teams and partners to build the software stacks for AI across Microsoft.  

Our stack enables Machine Learning (ML) developers to optimize and scale out model training and inference.  We work directly with OpenAI on the models hosted on the Azure OpenAI service. The ONNX Runtime is shipped in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics, serving trillions of inferences daily. 

We are looking to hire a Principal Software Engineering Manager - AI Platform to join the team. The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-disciplinary team of highly capable and motivated people with a collaborative and inclusive culture.  We collaborate with and contribute to the open-source community.   

As a member of this team, you will have the opportunity to work on multiple levels of the AI software stack, including the fundamental abstractions, programming models, compilers, runtimes, libraries and APIs to enable large scale training and inferencing of models. 

This is a technical management role: it requires managing an engineering team, helping set the technical direction of the team, and hands on software design and development skills. We’re looking for someone who has a demonstrated history of solving technical problems and is motivated to tackle building a full end-to-end AI stack.  An entrepreneurial approach and ability to take initiative and move fast are essential.  

• Identify requirements, scope solutions, estimate work, schedule deliverables.  
• Manage and lead engineering team.  
• Apply engineering principles for defining robust and maintainable architectures and designs. 
• Collaborate broadly across multiple disciplines from hardware designers to ML developers.
• Technical leadership and mentoring of software engineers.  
• Embody our and .