Job description

Overview The Microsoft AI Frameworks team, develops the software , performance systems, and engineering tools 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, observability, benchmarking, and hardware platforms—including NVIDIA and AMD GPUs and Microsoft silicon. Our Senior and/or Principal Software E ngineers - AI Frameworks partner with model developers, researchers, hardware teams, and production services to accelerate model onboarding, improve performance and reliability, reduce deployment time and hardware footprint, and turn performance insights into durable platform capabilities. This is a hands-on individual-contributor role for engineers who enjoy solving ambiguous, end-to-end systems problems. Successful candidates combine strong software engineering fundamentals with curiosity about AI workloads, disciplined measurement, and a willingness to work across organizational boundaries to deliver production impact. As a Senior Software Engineer, you will own significant components and projects across AI performance, benchmarking, automation, and developer tooling. You will independently translate model and platform needs into robust software, investigate complex performance and reliability issues, and collaborate with partner teams to deliver measurable improvements into production. As a Principal Software Engineer, you will set technical direction and lead high-impact initiatives spanning AI frameworks, performance engineering, benchmarking, and tooling. You will identify systemic opportunities, align teams around durable architectures and success measures, and remain hands-on in the design and delivery of solutions that improve model velocity, platform efficiency, and production reliability. At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.  Responsibilities As a Senior Software Engineer: • Design, implement, test, and operate production-quality components across AI frameworks, runtimes, benchmarking systems, performance tooling, and service integrations. • Benchmark, profile, debug, and optimize large language model training and inference workloads across GPUs and Microsoft hardware. • Build automation and observability that detect regressions, improve reproducibility, surface actionable insights, and accelerate model and hardware onboarding. • Drive scoped projects from problem definition through deployment, balancing delivery speed, maintainability, reliability, and measurable customer or capacity impact. • Partner with researchers, model teams, infrastructure owners, and hardware vendors to diagnose cross-stack issues and deliver production-ready solutions. • Contribute to technical design reviews, engineering standards, operational health, and mentoring of other engineers. • Embody Microsoft’s culture and values. As a Principal Software Engineer: • Define technical vision, architecture, and multi-release strategy for critical AI framework, performance, benchmarking, or developer-productivity capabilities. • Lead ambiguous, cross-stack investigations and investments spanning models, frameworks, compilers, runtimes, systems, services, and silicon. • Establish common measurement, automation, observability, and engineering mechanisms that turn one-off analyses into scalable platform capabilities. • Drive measurable improvements in model onboarding velocity, runtime performance, reliability, hardware utilization , and Azure capacity efficiency. • Influence architecture and priorities across teams; align researchers, product groups, infrastructure owners, and hardware partners around clear decisions and execution plans. • Provide hands-on technical leadership through prototypes, critical-path implementation, design and code reviews, complex debugging, and operational readiness. • Raise the engineering bar by mentoring senior engineers, developing technical leaders, and advancing standards for quality, maintainability, and inclusive collaboration. • 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: • Experience building and operating complex software systems • practical knowledge of performance analysis, benchmarking, automation, or developer tooling • familiarity with AI/ML frameworks such as PyTorch , TensorFlow, or ONNX Runtime • familiarity with GPU software and profiling technologies such as CUDA, ROCm , Triton, or equivalent • demonstrated cross-team collaboration and technical ownership Additional or preferred qualifications for Principal Software Engineer: • Extensive experience designing and shipping complex, high-performance or distributed software systems • strong foundation in software architecture, computer architecture, and accelerator-aware optimization • experience with AI/ML workloads and frameworks • demonstrated leadership 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: careers.microsoft.com Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $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: careers.microsoft.com 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.

Requirements

Must-haves

Design, implement, test, and operate production-quality components across AI frameworks, runtimes, benchmarking systems, performance tooling, and service integrations.
Benchmark, profile, debug, and optimize large language model training and inference workloads across GPUs and Microsoft hardware.
Build automation and observability that detect regressions, improve reproducibility, surface actionable insights, and accelerate model and hardware onboarding.
Drive scoped projects from problem definition through deployment, balancing delivery speed, maintainability, reliability, and measurable customer or capacity impact.
Partner with researchers, model teams, infrastructure owners, and hardware vendors to diagnose cross-stack issues and deliver production-ready solutions.
Contribute to technical design reviews, engineering standards, operational health, and mentoring of other engineers.
Embody Microsoft’s culture and values.
Define technical vision, architecture, and multi-release strategy for critical AI framework, performance, benchmarking, or developer-productivity capabilities.
Lead ambiguous, cross-stack investigations and investments spanning models, frameworks, compilers, runtimes, systems, services, and silicon.
Establish common measurement, automation, observability, and engineering mechanisms that turn one-off analyses into scalable platform capabilities.
Drive measurable improvements in model onboarding velocity, runtime performance, reliability, hardware utilization , and Azure capacity efficiency.
Influence architecture and priorities across teams; align researchers, product groups, infrastructure owners, and hardware partners around clear decisions and execution plans.
Provide hands-on technical leadership through prototypes, critical-path implementation, design and code reviews, complex debugging, and operational readiness.
Raise the engineering bar by mentoring senior engineers, developing technical leaders, and advancing standards for quality, maintainability, and inclusive collaboration.
Embody Microsoft’s culture and values.
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.
Experience building and operating complex software systems
practical knowledge of performance analysis, benchmarking, automation, or developer tooling
familiarity with AI/ML frameworks such as PyTorch , TensorFlow, or ONNX Runtime
familiarity with GPU software and profiling technologies such as CUDA, ROCm , Triton, or equivalent
demonstrated cross-team collaboration and technical ownership
Extensive experience designing and shipping complex, high-performance or distributed software systems

Nice-to-haves

Additional or preferred qualifications for Senior Software Engineer:
Additional or preferred qualifications for Principal Software Engineer:

Application prep

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