Senior Software Engineer - System Optimization at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

234700.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, System Optimization, High Performance Inference, Benchmarking, LLMs, GPU, AI Hardware, Software Design, Distributed Systems, Performance Bottlenecks, Code Review, Hardware/Software Co-design

Industry

Software Development

Description

Overview The Artificial Intelligence Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from the 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 Senior Software Engineer - System Optimization, you will drive innovation across the AI software stack with a strong focus on high performance inference systems. You will lead benchmarking and optimization of state-of-the-art LLMs across GPUs and Microsoft’s custom AI hardware, architect improvements to largescale serving pipelines, and diagnose complex performance bottlenecks across distributed systems. You will own critical metrics, design and implement robust optimizations, and partner closely with research, hardware, and production teams to ship cutting edge capabilities into Microsoft’s most heavily used AI workloads—directly influencing Azure’s efficiency and Microsoft’s next generation of AI infrastructure. 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 beyo Responsibilities Software development in C++, Python, and other languages for specialized accelerators and host systems Software design, development and optimization to execute AI workloads at the cloud scale Co-design with hardware partner teams on HW/SW interfaces Design and code review of peer work Qualifications Required Qualifications: 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++, 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR equivalent experience. PhD Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, or Python 1+ year of experience with Large Language Models (LLMS) and large scale execution on AI workloads 3+ years of technical design, problem solving, and debugging skills #AIInfra Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 engineer will drive innovation across the AI software stack, focusing on high-performance inference systems by leading benchmarking and optimization of state-of-the-art LLMs across various hardware platforms. Responsibilities also include architecting improvements to large-scale serving pipelines and diagnosing complex performance bottlenecks in distributed systems.