Jaime Rios

Server Systems & Hardware Engineering | Manufacturing & Quality

Guadalupe, Nuevo León, Mexico

About

I'm an engineer who needs to understand how things actually work, not just that they work. That mindset has taken me through server hardware manufacturing, automotive quality systems, and deep independent work in PC and hardware architecture. Right now I apply it at Quanta, managing hardware non-conformances and supporting NPI ramp-up for data-center-class systems, but the real pattern across everything I've done is the same: find the real root cause, understand the system behind the symptom, and fix it properly. Hardware failure modes, firmware behavior, system-level trade-offs, process physics. Background in quality engineering, NPI execution, automotive manufacturing, and hardware systems. Open to technical roles where rigorous thinking and hands-on systems knowledge actually matter. Core: NPI · Failure Analysis · Root Cause Analysis · CAPA · 8D · Server Hardware · DMR/RTV · IATF 16949 · ISO 9001 · Hardware Validation · OSV

Experience

  • Quality Engineer – NPI & Hardware Validation (DMR/RTV) at Quanta Mexico Manufacture Center 廣達墨西哥製造中心
    Nov 2025 - Present · 8 mos

    End-to-end ownership of non-conforming material disposition (DMR/RTV) for data-center-class components including CPU, memory, storage, and networking hardware — covering containment, traceability, risk classification, and return-to-vendor coordination. - Quality engineering support during server manufacturing ramp-up (NPI), working directly at the intersection of hardware validation, material risk, and production readiness in early-phase production environments. - Technical decision-making on hardware non-conformances based on component failure modes, server architecture behavior, and production constraints - Active involvement in on-site validation (OSV) flows, ensuring hardware readiness and preventing validation or logistics escapes before production scale-up. - Structured data tracking and risk prioritization to support quality decisions during ramp, identifying systemic issues and escalating with technical evidence. - Application of PC and server architecture knowledge (CPU platforms, memory compatibility, storage protocols, power and thermal behavior) to evaluate hardware issues, failure modes, and manufacturing risks in real production conditions.

  • Quality Engineer – Manufacturing & Supplier Quality at Continental
    Jan 2025 - Oct 2025 · 10 mos

    - Manufacturing quality support for automotive HVAC production lines, ensuring process compliance, product integrity, and defect containment across high-volume production. - Execution of leak and integrity testing (helium, sniffer, UV, water) and cross-section microscopic analysis for defect characterization and root cause identification. - Full-cycle management of warranty returns, scrap, and customer return materials with complete traceability — from receipt to disposition and supplier feedback. - Participation in Layered Process Audits (LPA), quality alerts, and technical reports for both production teams and management, driving corrective action follow-up. - Application of structured problem-solving methodologies (8D, A3) for recurring defect analysis, CAPA generation, and systemic risk reduction. - Work within ISO 9001 and IATF 16949 frameworks, including supplier quality coordination and process compliance verification.

  • Hardware Systems Engineer at Custom Compute & Hardware Solutions
    Oct 2022 - Nov 2024 · 2 yrs 2 mos

    - Independent hardware engineering practice focused on custom compute system design, performance optimization, and system-level validation — driven by deep technical research and hands-on experimentation. - Translation of complex user requirements into hardware configurations balancing performance, power efficiency, thermals, reliability, and cost — covering CPU platform selection, memory architecture, storage, cooling, and power delivery. - Practical hands-on work with BIOS and firmware configuration, hardware compatibility validation, stability tuning, and system-level performance optimization across multiple CPU architectures and chipsets. - End-to-end hardware lifecycle involvement: component research and specification, system assembly, functional validation, failure diagnosis, and iterative troubleshooting. - Strong understanding of hardware–software interaction across Windows and Linux environments, including driver behavior, OS-level power management, and system stability under load. - Continuous deep learning in PC architecture, power delivery systems, thermal design, storage technologies, and performance benchmarking — building the hardware foundation applied directly in current server manufacturing work.

  • Process Engineer at DIMISA
    Aug 2022 - Nov 2022 · 4 mos

    - Process engineering support for assembly and structural welding operations in an industrial manufacturing environment, ensuring process compliance and quality standard adherence. - Monitoring of process conditions and real-time compliance verification against technical specifications and quality requirements. - Coordination of shop-floor teams to meet production targets, safety requirements, and internal logistics flow. - Identification and proposal of process improvements focused on workflow optimization, reduction of non-productive time, and visual defect control.

  • Automotive Systems Diagnostics Technician at Automotive Engineering World
    Jan 2020 - May 2021 · 1 yr 5 mos

    - Technical diagnostics of automotive mechanical and electronic systems, with focus on early fault detection, root cause analysis, and structured repair verification. - Deep working knowledge of engine operation, fuel injection systems, braking systems, power delivery, suspension, steering, and drivetrain components — applied to real diagnostic scenarios under time and accuracy pressure. - Application of preventive and corrective maintenance procedures following technical standards, safety practices, and quality controls. - Use of manual, electrical, and electronic diagnostic tools, with ability to interpret technical diagrams, measurement data, and system behavior patterns to isolate root cause. - Research-driven analysis and implementation of system optimizations beyond OEM baseline, evaluating performance, reliability, and trade-offs — developing the same systems-optimization mindset applied in current engineering roles. - Clear technical communication with customers: explaining system behavior, failure causes, applied solutions, and preventive recommendations in accessible terms.