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Overview

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration with business insight and strategy?

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 achieve 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Join the Systems Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.

Responsibilities

+ **Model Bring-Up & Characterization**

+ Lead the bring-up and functional validation of LLMs on custom AI accelerators and GPUs.

+ Develop and maintain detailed performance characterizations across compute, memory, and interconnect domains.

+ Instrument and profile end-to-end training and inference workloads to identify scaling inefficiencies and performance gaps.

+ **Hardware/Software/Model Co-Design**

+ Partner with silicon and system architects, compiler/runtime engineers, and model researchers to define co-design strategies that maximize efficiency and utilization.

+ Drive studies and experiments across quantization formats, tensor parallelism, activation checkpointing, memory layouts, and communication topologies.

+ **Performance Optimization**

+ Analyze kernel- and system-level traces to identify limiting factors in compute, memory, and interconnect.

+ Propose and implement optimizations in scheduling, fusion, and data movement to improve throughput and power efficiency.

+ Guide runtime and compiler improvements informed by workload analysis.

+ **Cross-Functional Leadership**

+ Collaborate with teams across Azure ML, DeepSpeed, and Maia hardware programs to deliver production-grade AI infrastructure.

+ Present architectural findings and recommendations to senior engineering leadership.

+ Mentor and technically guide engineers working in performance, compiler, and system bring-up domains.

Qualifications

Required/minimum 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

+ 10+ years of experience in **AI systems, hardware/software co-design, or performance engineering** .

+ Deep understanding of **AI accelerator and GPU architectures** , including compute pipelines, memory hierarchies, and interconnects.

+ Proficiency with **PyTorch** , **CUDA** , **Triton** , or similar frameworks for performance tuning and kernel development.

+ Proven track record of cross-disciplinary collaboration between hardware, software, and ML model teams.

+ Experience profiling and optimizing large-scale distributed AI workloads.

+ Familiarity with **DeepSpeed** , **Megatron-LM** , **SGLang** , or **vLLM** training and inference pipelines.

+ Deep understanding of **transformer-based model architectures** and scaling behaviors.

+ Hands-on experience with **AI performance modeling, benchmarking, or workload simulation** .

+ Demonstrated technical leadership and communication skills in highly collaborative environments.

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

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. (https://careers.microsoft.com/v2/global/en/accessibility.html)