Microsoft's AI Frameworks team is looking to solve the problem of running AI models everywhere, from supercomputers to mobile phones and IoT devices, by developing AI software that enables large scale training and inferencing of models, including OpenAI and other state of the art large language model (LLM) models.
Requirements
- 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
- 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
- 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
- Familiarity with Nvidia/AMD GPU's and first party Microsoft silicon
Responsibilities
- 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
Other
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- Bachelor's Degree in Computer Science or related technical field
- 4+ years technical engineering experience
- Ability to collaborate in a team of researchers and developers
