Microsoft Senior Software Engineer - AI Frameworks 

Taiwan, Taoyuan City 

177725715

As a Senior Software Engineer 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 application programming interfaces (APIs) to enable large scale training and inferencing of models. You will benchmark OpenAI and other LLM models for performance on graphics processing units (GPUs) and Microsoft hardware, debug and optimize performance, monitor performance and enable these models to be deployed in the shortest amount of time and the least amount of hardware possible helping achieve Microsoft Azure's capex goals.

This is a hands-on technical role requiring software design and development skills. We’re looking for someone who has a demonstrated history of solving technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack. An entrepreneurial approach and ability to take initiative and move fast are essential.

Required 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++, Python
• OR equivalent experience.
• 2+ years’ practical experience working on high performance applications and performance debug and optimization on CPU's/GPU's
• Experience in DNN/LLM inference and experience in one or more deep learning frameworks such as PyTorch, Tensorflow, or ONNX Runtime and familiarity with CUDA, ROCm, Triton

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 Qualifications:

• Technical background and solid foundation in software engineering principles, computer architecture, GPU architecture, hardware neural net acceleration
• Experience in end-to-end performance analysis and optimization of state of the art LLMs, HPC applications including proficiency using GPU profiling tools
• Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Identify and drive improvements to end-to-end inference performance of OpenAI and other state of the art LLMs
• Measure, benchmark performance on Nvidia/AMD GPU's and first party Microsoft silicon
• Optimize and monitor performance of LLMs and build software tooling to enable insights into performance opportunities ranging from the model level to the systems and silicon level, help reduce the footprint of the computing fleet and achieve Azure AI capex goals
• Enable fast time to market of LLMs/models and their deployments at scale by building software tools that afford velocity in porting models on new Nvidia, AMD GPUs and Maia silicon
• Design, implement, and test functions or components for our AI/deep neural networks (DNN)/LLM frameworks and tools
• Speeding up/reducing complexity of key components/pipelines to improve performance and/or efficiency of our systems
• Communicate and collaborate with our partners both internal and external
• Embody Microsoft's and