Manufacturing Test Lead Job at Microsoft Corporation (Mountain View)

Job Description

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission. As Microsoft's cloud business continues to grow, the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Hardware, Infrastructure Management, and Fundamentals Engineering (HIFE) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale, and sustainability related to Microsoft cloud hardware. We are looking for seasoned engineers with a dedicated passion for customer focused solutions, insight, and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure. We are looking for a Manufacturing Test Lead to join our team. Join us in this exciting AI revolution. Be part of the infrastructure engineering taskforce to fuel this world changing mission.

Job Responsibility

Define and lead end-to-end manufacturing test strategies for PCBAs, storage enclosures, and rack-level systems
Leads the development of test hardware, software, and firmware to validate the functionality of complex systems including GPUs, CPUs, and liquid-cooled platforms, ensuring alignment with product design and performance goals
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
Designs and delivers end-to-end test solutions, particularly for advanced liquid cooling technologies, addressing both macro and micro-level thermal transfer challenges (e.g., fluids, pumps, manifolds, connectors)
Collaborates across multidisciplinary teams—mechanical, electrical, process, and production engineering—to integrate test strategies early in the product lifecycle and ensure seamless execution during manufacturing
Defines and maintains test architecture and core test content, including reusable scripts and test cases, for both blade-level and rack-level systems, ensuring scalability and consistency across product lines
Monitors production yield and test data, identifies systemic issues, and drives root cause analysis and corrective actions to improve test coverage, product quality, and manufacturing efficiency
Assesses manufacturing test readiness before each NPI (New Product Introduction) build, conducting risk assessments and coordinating mitigation plans with internal and external stakeholders
Initiates early engagement in design phases to identify test coverage gaps, develop new test materials, and establish successful metrics to ensure quality and reliability from prototype to production
Ensures comprehensive documentation and verification coverage across all product stages, mapping test cases to customer impact and business value, including coverage ROI and cost rationalization
Drive continuous improvement initiatives by analyzing test system data, eliminating non-value-added processes, and enhancing test effectiveness and efficiency
Engages with CM/ODM partners to understand production capabilities and limitations, 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
Evaluate AI readiness of supplier test systems and drive adoption of intelligent test solutions across the ecosystem
Collaborate with data science teams to develop AI tools that support test optimization and decision-making.

Requirements

Doctorate in Electrical Engineering, Computer Science, Mechanical Engineering (Hardware) or related field AND 3+ years of enterprise computer, consumer electronics design or hyperscale supply chain systems experience OR Master's Degree in Electrical Engineering, Computer Science, Mechanical Engineering (Hardware) or related field AND 4+ years of enterprise computer, consumer electronics design or hyperscale supply chain systems experience OR 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 OR equivalent experience
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.

Nice to have

10+ years of experience in manufacturing test engineering for compute and hyperscale platforms (e.g., servers, storage, GPUs), 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
Demonstrated success leading test tool development projects (CPU/GPU) from concept through deployment, including integration into manufacturing test flows
Proficient in Linux-based environments, including scripting, command-line operations, and troubleshooting test systems and storage enclosures
Analytical and problem-solving skills with a proven ability to collaborate across multidisciplinary technical teams
2+ years of hands-on experience in data center or test lab environments
Willingness to travel domestically and internationally, and to support off-hours work as required
Experience in hyperscale or OEM manufacturing environments (e.g., Microsoft Azure, AWS, or similar)
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
Solid understanding of PCBA and enclosure-level design and manufacturing processes
Hands-on experience with software development in languages such as Python, SQL, C#, C++, or Rust
Familiarity with firmware/BIOS development and driver integration for Linux or Windows platforms
Experience with modern software development workflows and version control tools (e.g., Git)
Direct experience integrating CPU/GPU test tools into high-volume manufacturing test flows
Proficient in Linux OS, including scripting and command-line operations
Experience with Azure DevOps Services, Power BI, or Power Automate is a plus
Proficient in Microsoft Office applications for documentation and reporting
Ability to navigate ambiguity, translate complex concepts into practical processes, and drive implementation across cross-functional teams.

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Manufacturing Test Lead

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