Principal Software Engineer

** Overview*
* Microsoft 365 powers some of the world's largest productivity, collaboration, and AI experiences, including Copilot, Agents, PAC, and the Substrate platform. As these experiences rapidly evolve, the underlying infrastructure, hardware platforms, and software systems must evolve with them.

We are looking for a Principal Software Engineer to help define the future of hardware strategy and performance architecture across Microsoft 365. This role sits at the intersection of large-scale distributed systems, AI workloads, hardware platform evolution, and software performance engineering.

You will work across engineering, infrastructure, and platform teams to ensure Microsoft 365 is positioned to take full advantage of emerging hardware capabilities while delivering industry-leading performance, efficiency, and scale.

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*
* + Drive hardware strategy and hardware-software co-design for Microsoft 365, Copilot, Agents, PAC, and Substrate workloads.

+ Define benchmarking, workload characterization, and performance evaluation frameworks used to influence platform and infrastructure decisions across compute, gpu, memory, storage, networking, and accelerator technologies.

+ Lead deep technical investigations into performance, efficiency, and scalability challenges across large-scale distributed systems and AI-powered services.

+ Partner with Azure, infrastructure, and platform engineering teams to evaluate emerging hardware technologies and translate platform capabilities into meaningful customer and business impact.

+ Build the next generation of AI-assisted performance engineering capabilities, enabling faster analysis, diagnosis, optimization, and decision-making across Microsoft 365 services.

+ Provide technical leadership across organizational boundaries, influencing architecture, platform direction, and engineering practices at Microsoft 365 scale.

** Qualifications*
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* Required Qualifications:

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* + 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.

** 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.

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* Preferred Qualifications:

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* + Master'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 Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

+ OR equivalent experience.

+ Proven track record leading performance, systems, infrastructure, or hardware strategy initiatives for large-scale cloud services.

+ Deep understanding of distributed systems, computer architecture, performance engineering, benchmarking, and workload analysis.

+ Experience using data, experimentation, and technical analysis to influence platform, architecture, or infrastructure investment decisions.

+ Demonstrated ability to lead cross-organizational technical efforts and influence senior engineering leaders.

+ Experience applying AI to engineering workflows, performance analysis, diagnostics, optimization, or operational decision-making.

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Experience with AI infrastructure, large-scale inference workloads, retrieval systems,…