The Senior Researcher - GPU Performance role focuses on exploring hardware and kernel-level optimizations to enhance efficiency for Large Language Models and Generative AI experiences. The team is part of Microsoft's Systems Innovation initiative, which aims to advance AI systems through novel designs and optimizations. Candidates will leverage their expertise in GPU architecture and machine learning to solve complex technical challenges. Collaboration with various research teams and contributions to academic publications are key aspects of this position.

• Doctorate in a relevant field or equivalent experience.
• 2+ years of experience in GPU architecture, memory hierarchies, parallel computing, and algorithm optimization.
• 2+ years of experience in GPU programming, including performance profiling and optimization tools.
• Reliable C++ programming skills.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Design, implement, and optimize GPU kernels for complex computational workloads such as AI inferencing.
• Research and develop novel optimization techniques for generation of GPU kernels.
• Profile and analyze kernel performance using advanced diagnostic tools.
• Generate automated solutions for kernel optimization and tuning.
• Collaborate with other researchers to improve model performance.
• Document optimization strategies and maintain performance benchmarks.
• Contribute to the development of internal GPU computing frameworks.

• 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.