The Senior Software Engineer - Performance Tooling role at Microsoft involves working on the AI Frameworks team, which develops AI software for various platforms including supercomputers and IoT devices. The focus is on optimizing performance for large language models (LLMs) and collaborating with internal and external teams. The engineer will benchmark and debug performance on GPUs and Microsoft hardware, ensuring efficient deployment of AI models. This position emphasizes a collaborative culture and aims to achieve Microsoft's Azure capex goals.

• 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++, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Master'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++, or Python OR equivalent experience.
• 4+ years’ practical experience working on high performance applications and performance debugging and optimization on CPUs/GPUs.
• Experience in DNN/LLM inference and familiarity with one or more DL frameworks such as PyTorch, Tensorflow, or ONNX Runtime.
• Technical background in software engineering principles, computer architecture, and GPU architecture.

• Work across multiple layers of the AI software stack to enable large-scale model training and inference.
• Benchmark OpenAI and other LLMs for performance on GPUs and Microsoft hardware.
• Debug, profile, and optimize performance for training/inference workloads on CPUs/GPUs.
• Monitor performance regressions and drive continuous improvements to reduce time-to-deploy and hardware footprint.
• Collaborate across teams of researchers and engineers to deliver scalable, production-ready AI performance improvements.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.