Principal Software Engineer - Performance at Microsoft

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Design, Software Development, Performance Optimization, Kernel Debugging, Model Optimization, Algorithm Optimization, System Level Optimization, C, C++, C#, Java, JavaScript, Python, GPU Profiling, CUDA, ROCm

Industry

Software Development

Description

Overview The Artificial Intelligence Cloud Inference team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices and internet browsers. We collaborate with our hardware teams and partners, both internal and external, and operate at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a team of highly capable and motivated people that pride themselves on a collaborative and inclusive culture. We own inference performance of OpenAI and other state of the art LLM models and work directly with OpenAI on the models hosted on the Azure OpenAI service serving some of the largest workloads on the planet with trillions of inferences per day in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics. As a Principal Software Engineer - Performance on the team, you will have the opportunity to work on multiple levels of the AI software stack, including the fundamental abstractions, programming models, runtimes, libraries and APIs to enable large scale training and inferencing of models. You will benchmark OpenAI and other LLM models for performance on GPUs and Microsoft HW, debug and optimize performance at all levels of abstraction including kernel, model, algorithm and system level, monitor performance and drive efficiencies that contribute to achieving 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. 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 As a Principal Software Engineer on the team the common tasks of the job would include, but not be limited to: 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 SW 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 SW 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/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 Culture and Values Qualifications Required Qualifications: Bachelor'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, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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: Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years’ practical experience working on high performance applications and performance debug and optimization on CPU's/GPU's. Technical background and solid foundation in software engineering principles, computer architecture, GPU architecture, HW 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. Experience in DNN/LLM inference and experience in one or more DL frameworks such as PyTorch, Tensorflow, or ONNX Runtime and familiarity with CUDA, ROCm, Triton. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves identifying and driving improvements to the end-to-end inference performance of state-of-the-art LLMs, including measuring and benchmarking performance on various GPUs and Microsoft silicon. Responsibilities also include optimizing performance across model, system, and silicon levels, building tooling for performance insights, and enabling fast time-to-market for model deployments.