> Markdown version of [/jobs/ext/4285103-senior-product-quality-engineer-gpu-hpc](https://www.wearedevelopers.com/jobs/ext/4285103-senior-product-quality-engineer-gpu-hpc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Quality Engineer - GPU / HPC - **Company:** IREN LLC - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $240,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Code Coverage, Data Centers, Failure Mode Effects Analysis, Statistical Process Control (SPC), AI Infrastructure, Reliability of Systems, Hardware Acceleration, Hardware Infrastructure - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=616e1d0670ad978b ## About the Role * Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related technical field; advanced degree preferred. * 7+ years of experience in manufacturing, test, and product quality for compute, storage, networking, or data center hardware products, ideally at a hyperscaler, cloud provider, or AI infrastructure company. * Demonstrated ability to operate with a high degree of autonomy, independently structuring quality strategy, test plans, and corrective-action recommendations, and escalating only the highest-impact or most ambiguous decisions. * Deep technical understanding of hardware architecture, with proven expertise defining requirements, testing, and validating high-performance compute and GPU systems. * Proven experience collaborating with OEM/ODM/JDM manufacturing partners to deliver high-quality data center server and accelerator products. * Working expertise with manufacturing test solutions for data center infrastructure hardware, including test coverage, methodologies, and test infrastructure. * Hands-on experience driving manufacturing operations, including reliability and quality requirements, First Article Inspection, and defining acceptance criteria for racks. * Strong knowledge of quality methodologies and tools, including Failure Analysis and Corrective Action (FACA), 8D, FMEA, SPC, and yield analysis, and experience managing BOMs and engineering changes in PLM tools and defining and managing spares for data centers. * Experience working on AI hardware, including NVIDIA GB200/GB300 and VR200 rack-scale programs and liquid-cooled systems preferred. * Strong hands-on problem solving, data analysis, and communication skills, with the ability to operate autonomously across design, manufacturing, quality, test, operations, and supplier teams. ## Description * Own the product and manufacturing quality strategy and processes for IREN's next-generation AI hardware systems, ensuring on-time delivery against defined quality standards. * Define test methods and quality standards, and drive continuous improvement projects with OEM/ODM/JDM manufacturing partners and key commodity suppliers to meet product and process quality targets. * Lead cross-functional troubleshooting across rack- and system-level hardware, owning the Major Issue List and driving issues to closure. * Execute rigorous Failure Analysis and Corrective Action (FACA) to resolve underlying technical problems and achieve quality and yield goals. * Engage early with Engineering teams to implement robust DFx requirements (DfM, DfA, DfT, DfQ, DfS) and ensure products meet cycle-time, cost, quality, and yield targets. * Drive the continuous evaluation and advancement of test coverage, methodologies, and infrastructure to maximize hardware reliability, performance, and scalability across the product lifecycle. * Conduct First Article Inspection and Source Inspection reviews on hardware components and assemblies. * Create and maintain BOMs, engineering change notifications, and manufacturing process changes through product lifecycle management tools. * Establish quality KPIs (First Pass Yield, DPPM, DOA, early-life failure rate, defect Pareto) and governance cadences with manufacturing partners and suppliers, and report performance to leadership. * Serve as the senior technical escalation point and mentor for quality, manufacturing, and test engineers as IREN's AI hardware portfolio scales. Other important requirements * Pre-employment screening, including background check and substance testing may be required according to company policies. * Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement. * This role involves frequent travel to manufacturing partner, supplier, integration, and data center sites. * IREN does not yet have an office in the Bay Area (a Santa Clara office is planned); until it opens, this role will work remotely, transitioning to hybrid on-site work once the office is established., IE US Operations, Inc. "IREN" participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. By applying for this position and submitting your resume and application materials, you consent to the processing of your personal information in accordance with our Job Applicant Privacy Statement available on our website at www.iren.com.