Senior Software Engineer- LLM Performance
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About The Position
The AI Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from the world's fastest AI supercomputers to servers, desktops, mobile phones, IoT devices, and internet browsers. We collaborate with our hardware teams and hardware partners to build software stacks for novel AI accelerators. We work closely with machine learning researchers and developers to optimize and scale out model training and inference. The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We own inference performance of OpenAI and other state-of-the-art Large Language Models (LLMs) and work directly with OpenAI on the models hosted on the Azure OpenAI service serving some of the largest workloads on the planet with trillions of inferences per day in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics. As a Senior Software Engineer- LLM Performance on the 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. You will benchmark OpenAI and other LLMs for performance on GPUs and Microsoft HW, debug and optimize performance, monitor performance and enable these models to be deployed in the shortest amount of time and the least amount of HW possible helping achieve Microsoft Azure's capex goals. This is a technical role: it requires hands-on software design and development skills. We're looking for someone who has a demonstrated history of solving hard technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack.
