Senior Product Quality Engineer - GPU / HPC

• 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.

• 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.

At IREN, we offer a highly competitive compensation package that includes base salary, annual performance incentives, and opportunities to build long-term wealth through equity programs. These offerings are part of our broader Total Rewards package, thoughtfully designed to support your health, well-being, and long-term success. Compensation

• The expected base salary for this role USD $240,000-$300,000/annum.
• Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.
• Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
• Relocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances)

Health & Wellness

• 100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents
• Company-paid short-term and long-term disability insurance
• Voluntary life, critical illness, and accident coverage available
• Health Savings Accounts (HSA) - when combined with the High Deductible Health Plan
• Employee Assistance Program and wellness resources

Retirement & Financial Wealth

• 401(k) retirement plan with company match
• Access to financial planning and legal services

Time Off & Leave Programs

• Paid Time Off (PTO) and paid holidays

Growth & Development

• Internal skills training and advancement pathways
• Professional development to support certifications, continuing education, or role related training

Community & Culture

• Company events and team-building activities

IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada.