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Senior Hardware Systems Engineer

Architect and develop end-to-end validation strategies from post-silicon environments through platform bring-up, characterization, and production deployment with a goal to identify hardware, firmware, and system-level reliability...

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Microsoft Redmond, WA,US, US Source published Sep 18, 2026 Verified 55 minutes ago
✓ 80% verification score · Source: Microsoft Opportunities · Always confirm final requirements on the original source.
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Senior Hardware Systems Engineer opportunity at Microsoft
DeadlineWed Mar 17 2:03 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Architect and develop end-to-end validation strategies from post-silicon environments through platform bring-up, characterization, and production deployment with a goal to identify hardware, firmware, and system-level reliability issues as early as possible Partner closely with Architecture, Hardware, Firmware, Security, Manufacturing, Performance Engineering, and Cloud Infrastructure teams to influence platform requirements and readiness. Drive execution across multiple programs, balancing deep technical contribution with broad organizational impact. Develop automation and tooling for server validation in collaboration with other teams. Champion engineering excellence through data-driven decision making, technical reviews, risk management, and continuous improvement of qualification processes. Lead cross-functional investigations involving hardware, firmware, operating systems, drivers,

Full job description

Full Job Description

Architect and develop end-to-end validation strategies from post-silicon environments through platform bring-up, characterization, and production deployment with a goal to identify hardware, firmware, and system-level reliability issues as early as possible Partner closely with Architecture, Hardware, Firmware, Security, Manufacturing, Performance Engineering, and Cloud Infrastructure teams to influence platform requirements and readiness. Drive execution across multiple programs, balancing deep technical contribution with broad organizational impact. Develop automation and tooling for server validation in collaboration with other teams. Champion engineering excellence through data-driven decision making, technical reviews, risk management, and continuous improvement of qualification processes. Lead cross-functional investigations involving hardware, firmware, operating systems, drivers, and cloud services to identify root causes and define corrective actions. Drive resolution of the most complex platform issues impacting Azure platform availability, performance, and reliability. Proactively seek new knowledge and adapts to new AI 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. Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience. 5+ years of experience in programing languages such as Python/PowerShell or similar for automation development or integration. 3+ years of experience with hardware, firmware, and operating system interfaces and interdependencies, CPU and GPU architectures, and system design concepts. These requirements include but are not limited to the following specialized security screenings: Experience with technologies such as PCIe, memory subsystems, networking, power management, rack device management, and remote device management. Experience defining custom hardware tools for platform validation or debugging. Experience troubleshooting and debugging complex hardware and platform integration issues. Experience using debugging and measurement tools such as logic analyzers, oscilloscopes, and PCIe analyzers. Experience evaluating hardware designs, hardware/firmware/operating system interactions, platform configuration trade-offs, and end-to-end error flows. Experience with data analytics, data collection and aggregation, and dashboarding.

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