The Microsoft AI Frameworks team develops the software and systems that enable state-of-the-art AI models to run reliably and efficiently at cloud scale. We work across model architectures, frameworks, compilers, runtimes, libraries, and hardware platforms—including NVIDIA and AMD GPUs and Microsoft silicon.
We are seeking hands-on Senior and/or Principal Software Engineers to deliver state-of-the-art performance for an LLM serving stack. You will optimize GPU kernels, compilers, runtimes, and distributed inference systems to improve latency, throughput, reliability, and hardware efficiency.
Successful candidates combine strong systems engineering, deep performance expertise, disciplined measurement, and effective cross-team collaboration.
As a Senior Software Engineer, you will own significant performance improvements across GPU kernels and inference runtime components, carrying optimizations from investigation through production.
As a Principal Software Engineer, you will tackle the most difficult cross-stack performance challenges and create reusable capabilities that advance serving performance across models and hardware generations.
Responsibilities
As a Senior Software Engineer:
Develop and optimize GPU kernels and runtime components for state-of-the-art LLM serving performance.
Profile workloads and improve latency, throughput, and hardware efficiency.
Integrate robust, maintainable optimizations into production serving systems.
Collaborate across model, compiler, infrastructure, and hardware teams.
Use AI-assisted development tools effectively to accelerate the development process.
Contribute to technical reviews, engineering standards, and mentoring.
Embody Microsoft’s culture and values.
As a Principal Software Engineer:
Drive cross-stack optimization across kernels, compilers, runtimes, and distributed serving.
Perform difficult, low-level optimization and resolve critical performance bottlenecks.
Turn performance innovations into reusable production capabilities.
Collaborate across research, infrastructure, and hardware teams to deliver measurable improvements.
Use AI-assisted development tools effectively to accelerate the development process.
Mentor senior engineers and raise engineering standards.
Embody Microsoft’s culture and values.
Qualifications
Required/Minimum Qualifications:
- Bachelor’s Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as 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.
Additional or Preferred Qualifications for Senior Software Engineer
Expertise in GPU or equivalent accelerator programming and kernel optimization.
Familiarity with vLLM, SGLang, or equivalent LLM inference libraries.
Demonstrated cross-team collaboration and technical ownership.
Ability to use AI-assisted development tools efficiently and validate their output.
Additional or Preferred Qualifications for Principal Software Engineer
Deep expertise in GPU or equivalent accelerator compilation pipelines and low-level architecture.
Expertise in LLM training and inference parallelism and acceleration.
Demonstrated ownership of cross-team technical initiatives from strategy through production.
Track record of creating reusable platforms, influencing senior stakeholders, and mentoring technical leaders.
#AIInfra
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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 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
- 4+ years of technical engineering experience coding in C++, Python, or equivalent experience
- Ability to pass Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- Expertise in GPU or equivalent accelerator programming and kernel optimization
- Familiarity with vLLM, SGLang, or equivalent LLM inference libraries
- Demonstrated cross-team collaboration and technical ownership
- Ability to use AI-assisted development tools efficiently and validate their output
- Deep expertise in GPU or equivalent accelerator compilation pipelines and low-level architecture
- Expertise in LLM training and inference parallelism and acceleration
- Ownership of cross-team technical initiatives from strategy through production
- Track record of creating reusable platforms, influencing senior stakeholders, and mentoring technical leaders
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.
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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.
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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.
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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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