Senior Software Engineer

Posted 7 Days Ago
Be an Early Applicant
Redmond, WA, USA
In-Office
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Build and scale distributed compute and storage infrastructure for Microsoft Search and AI serving systems. Responsibilities include designing features, debugging production incidents, optimizing CPU and GPU performance, developing vector search and deep learning serving capabilities, scaling components, and collaborating across engineering, research, and open-source communities. The role supports massively distributed systems handling millions of requests per second and requires expertise in high-performance or distributed computing.
Summary Generated by Built In
Overview

Microsoft Search & AI platform team delivers the cutting-edge infrastructure for Microsoft search and feeds experience which is used by billions of users. We are looking for a passionate platform developer to join us building the next generation of compute and storage fabric using in-house and open-source technologies. You will be hands-on in a massively scaled and distributed system. You will have the opportunity to work with cutting-edge cloud and machine learning technologies.

  • Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies. 
  • Design and implement features in a distributed environment using data to guide and measure success. 
  • Debug and mitigate incidents in live production environments. 
  • Participate in regular team scrums and communicate regularly and clearly with team members and leads. 
  • Look for opportunities to use open-source technologies in our service or to share learnings, services and tools we have created with Microsoft broadly or the open-source community. 

We are a fast-paced team with product releases every week. If you are self-motivated and want to make a large impact in the cloud serving area, then we are looking forward to meeting you! 

This is a core engineering team dealing with tens of thousands production servers, sub-millisecond latency and millions of RPS traffic. We develop advanced vector search algorithms, optimize model acceleration kernels, and build large scale distributed deep learning serving system. Our system leverages popular open-source components including ONNX, PyTorch, TensorFlow, Docker, Kafka, g-RPC, etc. We work on wide range of CPU and GPU hardware for high-performance serving.

We are expanding our established deep learning platform to the largest scale in industry, in order to serve the growing demand of search volume, office intelligence and Dynamics experience. To do that, we are looking for a solid system engineer on performance analysis, components scaling-up, distributed system debugging, and new feature/algorithm development. Our projects collaborate with the Microsoft Research deeply. This is a great opportunity to work on a large production system with cutting-edge technology innovation.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies. 
  • Design and implement features in a distributed environment using data to guide and measure success. 
  • Debug and mitigate incidents in live production environments. 
  • Participate in regular team scrums and communicate regularly and clearly with team members and leads. 
  • Look for opportunities to use open-source technologies in our service or to share learnings, services and tools we have created with Microsoft broadly or the open-source community. 

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++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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++, C#, Java, JavaScript, 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++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 10+ years of experience in building high-performance computing systems, parallel or distributed systems (e.g., in open-source projects or production systems).
  • Experience on high performance computing (e.g., cache/memory optimization, high-performance GPU programming, compiler-based optimization, fine-grained parallel library and runtime) or distributed systems (e.g., communication optimization, network architecture design, network programming). 
  • Theory and practice on the approximate nearest neighborhood search.
  • Experience on building Machine Learning/Deep Learning systems.
  • Experience on performance analysis and optimization for both CPUs and GPUs, as well as good understanding on software-hardware codesign.

#MicrosoftAI #SearchAIPlatform #Search #Bing


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 $160,200 - $261,000 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.

Skills Required

  • Bachelor's degree in Computer Science or a related technical field, or equivalent experience
  • 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, Python, or comparable languages
  • Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or bachelor's degree and 8+ years of experience, or equivalent experience
  • 10+ years of experience building high-performance, parallel, or distributed systems
  • Experience with high-performance computing or distributed systems
  • Experience with cache or memory optimization, GPU programming, compiler-based optimization, parallel libraries and runtimes, communication optimization, network architecture, or network programming
  • Knowledge and practical experience with approximate nearest neighbor search
  • Experience building machine learning or deep learning systems
  • Experience analyzing and optimizing performance across CPUs and GPUs
  • Understanding of software-hardware codesign

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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