Microsoft
Manufacturing Test Lead
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) delivers core infrastructure for Microsoft’s over 200 online businesses including Bing, Office 365, Xbox Live, Teams, OneDrive, and Azure. The Hardware, Infrastructure Management, and Fundamentals Engineering (HIFE) team defines and delivers operational measures of success for hardware manufacturing, improving planning, quality, delivery, scale, and sustainability.
Responsibilities
Define and lead end-to-end manufacturing test strategies for PCBAs, storage enclosures, and rack-level systems.
Lead development of test hardware, software, and firmware to validate functionality of complex systems including GPUs, CPUs, and liquid-cooled platforms.
Develop test plans and validation metrics for GPU-based platforms (e.g., NVIDIA HGX, GB200), covering bring-up, functional, performance, and stress diagnostics.
Integrate AI/ML models to dynamically adjust test coverage based on historical data, product complexity, and risk profiles.
Implement AI-driven anomaly detection systems to flag test escapes and reduce false positives in real time.
Design end-to-end test solutions for advanced liquid cooling technologies, addressing macro and micro-level thermal transfer challenges.
Collaborate across multidisciplinary teams to integrate test strategies early and ensure seamless execution during manufacturing.
Define and maintain test architecture and core test content, including reusable scripts and test cases for blade-level and rack-level systems.
Monitor production yield and test data, identify systemic issues, and drive root cause analysis to improve test coverage, product quality, and manufacturing efficiency.
Assess manufacturing test readiness before each NPI build, conducting risk assessments and coordinating mitigation plans.
Engage with CM/ODM partners to understand production capabilities, ensuring supply chain alignment and consistent delivery of high-quality products.
Leverage predictive analytics and machine learning to forecast failure trends and proactively mitigate risks.
Collaborate with data science teams to develop AI tools that support test optimization and decision-making.
Required Qualifications
Bachelor’s Degree in Electrical Engineering, Computer Science, Mechanical Engineering (Hardware) or related field AND 8+ years enterprise computer, consumer electronics design or hyperscale supply chain systems experience.
8+ years of experience in manufacturing test engineering for compute and hyperscale platforms, with deep expertise in test development and deployment at the building block, server, and rack levels.
3+ years of experience working with data center cooling infrastructure or advanced thermal management solutions, including liquid cooling technologies.
3+ years of experience developing diagnostic tools or utilities for electronic systems in high-volume or contract manufacturing environments.
Preferred Qualifications
Experience in hyperscale or OEM manufacturing environments (e.g., Microsoft Azure, AWS).
Familiarity with hardware diagnostics and test methodologies, including PCIe/NVLink, NVIDIA NVML APIs, sensor telemetry, and stress testing for memory, CPU, and GPU components.
Knowledge of rack-level test automation frameworks, including barcode scanning, firmware flashing, and test sequencing.
Proficient in telemetry and monitoring systems such as Prometheus and Grafana for real-time test data visualization.
Hands‑on experience with software development in languages such as Python, SQL, C#, C++, or Rust.
Benefits Competitive salary, equity, and comprehensive benefits. Base pay range USD $139,900 – $274,800 per year (San Francisco Bay Area range $188,000 – $304,200). Additional benefits and compensation information available at https://careers.microsoft.com/us/en/us-corporate-pay.
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Responsibilities
Define and lead end-to-end manufacturing test strategies for PCBAs, storage enclosures, and rack-level systems.
Lead development of test hardware, software, and firmware to validate functionality of complex systems including GPUs, CPUs, and liquid-cooled platforms.
Develop test plans and validation metrics for GPU-based platforms (e.g., NVIDIA HGX, GB200), covering bring-up, functional, performance, and stress diagnostics.
Integrate AI/ML models to dynamically adjust test coverage based on historical data, product complexity, and risk profiles.
Implement AI-driven anomaly detection systems to flag test escapes and reduce false positives in real time.
Design end-to-end test solutions for advanced liquid cooling technologies, addressing macro and micro-level thermal transfer challenges.
Collaborate across multidisciplinary teams to integrate test strategies early and ensure seamless execution during manufacturing.
Define and maintain test architecture and core test content, including reusable scripts and test cases for blade-level and rack-level systems.
Monitor production yield and test data, identify systemic issues, and drive root cause analysis to improve test coverage, product quality, and manufacturing efficiency.
Assess manufacturing test readiness before each NPI build, conducting risk assessments and coordinating mitigation plans.
Engage with CM/ODM partners to understand production capabilities, ensuring supply chain alignment and consistent delivery of high-quality products.
Leverage predictive analytics and machine learning to forecast failure trends and proactively mitigate risks.
Collaborate with data science teams to develop AI tools that support test optimization and decision-making.
Required Qualifications
Bachelor’s Degree in Electrical Engineering, Computer Science, Mechanical Engineering (Hardware) or related field AND 8+ years enterprise computer, consumer electronics design or hyperscale supply chain systems experience.
8+ years of experience in manufacturing test engineering for compute and hyperscale platforms, with deep expertise in test development and deployment at the building block, server, and rack levels.
3+ years of experience working with data center cooling infrastructure or advanced thermal management solutions, including liquid cooling technologies.
3+ years of experience developing diagnostic tools or utilities for electronic systems in high-volume or contract manufacturing environments.
Preferred Qualifications
Experience in hyperscale or OEM manufacturing environments (e.g., Microsoft Azure, AWS).
Familiarity with hardware diagnostics and test methodologies, including PCIe/NVLink, NVIDIA NVML APIs, sensor telemetry, and stress testing for memory, CPU, and GPU components.
Knowledge of rack-level test automation frameworks, including barcode scanning, firmware flashing, and test sequencing.
Proficient in telemetry and monitoring systems such as Prometheus and Grafana for real-time test data visualization.
Hands‑on experience with software development in languages such as Python, SQL, C#, C++, or Rust.
Benefits Competitive salary, equity, and comprehensive benefits. Base pay range USD $139,900 – $274,800 per year (San Francisco Bay Area range $188,000 – $304,200). Additional benefits and compensation information available at https://careers.microsoft.com/us/en/us-corporate-pay.
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