Senior Researcher – Gpu Performance

Generative AI is transforming how people create collaborate and communicate - redefining productivity across Microsoft 365 and our customers globally At Microsoft we run the biggest platform for collaboration and productivity in the world with hundreds of millions of consumer enterprise users Tackling AI efficiency challenges is crucial for delivering these experiences at scale Within our Microsoft wide Systems Innovation initiative we are working to advance efficiency across AI systems where we look at novel designs and optimizations across AI stacks models AI frameworks cloud infrastructure and hardware We are an Applied Research team driving mid- and long-term product innovations We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in cloud systems machine learning and software engineering We communicate our research both internally and externally through academic publications open-source releases blog posts patents and industry conferences Further we also collaborate with academic and industry partners to advance the state of the art and target material product impact that will affect 100s of millions of customers We are looking for a Senior Researcher - Hardware Software Codesign researcher to explore hardware kernel-level optimizations to deliver significant efficiency gains for Large Language Models and Generative AI experiences The ideal candidate will have a strong background in GPU architecture accelerator design machine learning or systems research and the ambition to apply them to large scale production systems This role combines deep technical expertise in GPU architecture with practical implementation skills to create efficient scalable computational kernels Further the ideal candidate must have demonstrated a history of solving hard 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 Have a look at this link for reading Microsoft s mission is to empower every person and every organization on the planet to achieve more As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond Responsibilities 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 Qualifications Required Qualifications Doctorate in relevant field OR equivalent experience Solid understanding of GPU architecture memory hierarchies parallel computing and algorithm optimization Hands-on experience in GPU programming including performance profiling and optimization tools Advanced C programming skills 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 5 years of experience in GPU programming and optimization expert knowledge of CUDA ROCm Triton PTX CUTLASS or similar GPU programming frameworks Experience with machine learning frameworks PyTorch TensorFlow Familiarity with compiler optimization techniques and background in auto-tuning and automated code generation Publication record in relevant conferences or journals MLSys NeurIPS ICML ICLR AISTATS ACL EMNLP NAACL ISCA MICRO ASPLOS HPCA SOSP OSDI NSDI etc Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the M365Core M365Research Research