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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Hardware Manufacturing Engineer - **Company:** Microsoft - **Location:** Hillsboro, OR, United States - **Experience:** Expert - **Salary:** $119,800.0 - $234,700.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Microsoft Online Services, Failure Mode Effects Analysis, Machine Learning, Microsoft Office, Microsoft Project, Microsoft PowerPoint, Reliability Engineering, Statistical Process Control (SPC), Visual Systems, Yield Optimization, Creo - **Published:** July 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17642013?backUrl=%2Fcareer%2F17642013%2FSenior-Hardware-Manufacturing-Engineer-Oregon-Hillsboro ## About the Role * Master's Degree in Manufacturing, Material, Mechanical, Electrical, Thermal, or Industrial Engineering, or related field AND 4+ years experience in a manufacturing environment /repair OR Bachelor's Degree in Manufacturing, Material, Mechanical, Electrical, Thermal, or Industrial Engineering, or related field AND 5+ years experience in a manufacturing environment/repair OR equivalent experience., Other: 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., * Master's Degree in Manufacturing, Material, Mechanical, Electrical, Thermal, Industrial Engineering, or related field with 10+ years' experience in manufacturing environment/repair OR Bachelor's Degree inManufacturing, Material, Mechanical, Electrical, Thermal, or Industrial Engineering, or related field with 12+years of experience. * Proven leadership, management, facilitation, and problem-solving skills including L1/L2 Triage Capability * Server compute, storage, GPU and networking product development or manufacturing experiences * Valor, Creo and Cadence Allegro software knowledge * Ability to analyze and interpret data statistically and to translate statistical data into business narratives that enable executives to make timely and informed decisions. * Proven track record in identifying a complex environment and driving improvements on scale. * Excellent communications and leadership skills, ability to work well with cross functional groups, ability to work independently with remote supervision. * Proven experience prioritizing and executing tasks in a high-pressure, fast-faced environment. * Well versed in Microsoft Office tools (Microsoft Project, PowerPoint, Word, Excel etc.) and Power BOther: * Patent or track record of engineering excellency. #azurehwjobs#HIFE Manufacturing Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. ## Description * Factory Operations & Capacity Planning: Develop production line capability, factory layouts, staffing plans, and capacity models to support product ramps, high-volume manufacturing, and repair operations. * Supplier Management & Production Risk Mitigation: Partner with suppliers, sourcing, NPI, and engineering teams to assess manufacturing capability, qualification, compliance, capacity, and sub-tier risks while driving corrective actions and supply continuity. * Manufacturing Process & Supplier Readiness: Develop, standardize, and optimize manufacturing and repair processes across global supplier sites, ensuring scalable production, yield improvement, capacity readiness, and continuous operational excellence. * Quality Systems & Process Control: Implement SPC, automation, AI-driven analytics, vision systems, and digital monitoring solutions to improve quality, reduce variability, detect defects early, and enable predictive quality management. * Root Cause Analysis & Continuous Improvement: Lead structured problem-solving efforts (8D, Fishbone, PFMEA, DFMEA, Six Sigma) to identify, resolve, and prevent recurring manufacturing, design, and repair issues. * AI, Automation & Predictive Maintenance: Drive adoption of AI/ML, IoT, remote monitoring, and predictive maintenance technologies to improve equipment reliability, operational efficiency, and factory visibility. * Product Industrialization & Design for Manufacturing: Collaborate with design, NPI, quality, and supplier teams to ensure products, packaging, and processes meet manufacturability, automation, reliability, serviceability, and sustainability requirements. * Technical Validation & Risk Management: Lead qualification strategies, NUDD assessments, engineering changes, simulations, tolerance analysis, and failure-mode evaluations to proactively identify and mitigate technical, schedule, tooling, and capacity risks. * Program Execution & Technology Roadmaps: Influence suppliers to invest in new technologies, align with long-term product strategies, support new product introductions, and drive successful project execution from development through mass production. * Metrics, Governance & Business Reviews: Establish dashboards and reporting mechanisms to monitor supplier performance, quality, compliance, operational efficiency, and provide manufacturing insights for executive reviews and QBRs. ## Related Videos - [Developing the Rich Text Editor for DeepL.com](https://www.wearedevelopers.com/videos/1172-developing-the-rich-text-editor-for-deepl-com) - [Solving Architectural Entropy With Runnable Diagrams](https://www.wearedevelopers.com/videos/100144-solving-architectural-entropy-with-runnable-diagrams) - [More efficient software for more efficient microchips](https://www.wearedevelopers.com/videos/1164-more-efficient-software-for-more-efficient-microchips) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Exploring the Potential of Decentraland](https://www.wearedevelopers.com/videos/583-exploring-the-potential-of-decentraland) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How Much Does a Software Engineer Make? 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