Imagine shaping the future of AI on Windows where your work directly impacts how millions of people experience intelligent computing every day. On the Windows AI Platform & Tools Team, you’ll collaborate across Microsoft and with hardware ecosystem partners to build the next generation of AI-infused experiences. You’ll be part of a team that thrives on solving complex challenges and delivering scalable solutions at the edge.
As a Principal Software Engineer in our team, you will help lead the design and development of high-performance software that powers AI capabilities across Windows & Devices. You’ll architect and build code that enables developers to deploy machine learning models at scale, optimize edge execution, and guide system-level decisions around scheduling, memory orchestration, and power-aware execution and secure execution. This opportunity will accelerate your career growth through strategic leadership and technical innovation, deepen your expertise in machine learning and edge computing, and position you to influence the future of AI integration across Microsoft platforms. The role offers flexible work options, including partial remote work.
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.
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.
Responsibilities
- Partners with appropriate stakeholders to determine user requirements for one or more complex scenarios.
- Provides technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors’ others to produce extensible and maintainable code used across the company.
- Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items.
- Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
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.
- Proven ability to define long-term ML infrastructure strategy and drive cross-org alignment across engineering, product, and research.
- Hands-on experience working or building robust, ML systems with high reliability, low latency, and seamless platform integration.
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:
- Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript or Python.
- OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- OR equivalent experience.
- Experience architecting ML inference pipelines for LLMs.
- Experience building local model integrations in system or app level components.
- Demonstrated mastery in ML compiler design, hardware-aware optimizations, and scalable infrastructure across heterogeneous platforms.
#W+DJOBS
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 related technical field AND 6+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python (or equivalent experience)
- Proven ability to define long-term ML infrastructure strategy and drive cross-org alignment
- Hands-on experience building robust, low-latency, highly reliable ML systems with seamless platform integration
- Ability to meet Microsoft, customer and/or government security screening requirements (Microsoft Cloud Background Check)
- Bachelor's Degree AND 12+ years technical engineering experience OR Master's Degree AND 10+ years technical engineering experience (preferred/equivalent experience accepted)
- Experience architecting ML inference pipelines for LLMs
- Experience building local model integrations in system or app level components
- Demonstrated mastery in ML compiler design, hardware-aware optimizations, and scalable infrastructure across heterogeneous platforms
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.
Microsoft Insights
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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