Electrical Engineer

CSAT Solutions LP•Houston, TX

54d

About The Position

CSAT Solutions is seeking qualified candidates to fill the role of an Electrical Engineer for AI server repair. This role involves providing electrical engineering expertise to support the diagnosis, failure analysis, repair, testing, and continuous improvement of AI servers, GPU platforms, server motherboards, power systems, networking hardware, storage systems, and other high-performance computing equipment. The engineer will lead projects to identify electrical and hardware design issues, partner with customers and OEM engineering teams, and develop advanced troubleshooting and failure analysis techniques at various levels. Responsibilities include analyzing schematics, developing knowledge management processes, leading investigations of complex hardware issues, and creating training materials. The role also supports New Product Introduction (NPI) by evaluating repairability and diagnostics, and provides technical guidance to support personnel. Additionally, the engineer will participate in structured problem-solving activities, identify opportunities for automation and data-driven troubleshooting, and support customer audits and technical escalations.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Electronics Engineering, or a related technical discipline required.
Minimum five (5) years of engineering experience supporting electronics manufacturing, server repair, OEM manufacturing, or high-technology service operations.
2-3 years of AI server experience strongly preferred
Experience supporting AI servers, GPU platforms, enterprise computing hardware, networking equipment, or data center infrastructure strongly preferred.
Demonstrated experience leading New Product Introduction (NPI), engineering validation, and production readiness activities.
Strong knowledge of component-level troubleshooting, electronic diagnostics, digital and analog circuit analysis, power systems, firmware, and embedded hardware preferred.
Experience developing automated test systems, diagnostic tools, repair procedures, and manufacturing process controls.
Proven expertise in root cause analysis, corrective and preventive actions (CAPA), Failure Mode and Effects Analysis (FMEA), statistical process control (SPC), and reliability engineering.
Strong understanding of engineering drawings, schematics, PCB layouts, bills of materials (BOMs), specifications, and engineering change management processes.
Experience managing engineering capital projects, budgets, and resource planning.
Advanced analytical, technical writing, and project management skills.
Proficient in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook, Project, and Visio); experience with ERP, PLM, MES, and engineering data management systems preferred.
Excellent communication and presentation skills with the ability to interface effectively with customers, suppliers, and executive leadership.
Demonstrated ability to manage multiple priorities in a fast-paced, high-growth technical environment with minimal supervision.

Nice To Haves

Master's degree preferred.
Lean Six Sigma Black Belt or equivalent continuous improvement certification preferred.

Responsibilities

Provide electrical engineering expertise supporting the diagnosis, failure analysis, repair, testing, and continuous improvement of AI servers, GPU platforms, server motherboards, power systems, networking hardware, storage systems, and other high-performance computing equipment.
Lead engineering projects to identify electrical and hardware design issues in customer products and partner with customers and OEM engineering teams to implement containment, corrective, and preventive actions.
Develop and perform advanced electrical troubleshooting and failure analysis at the system, board, and component levels to identify root causes of intermittent, complex, and repeat failures.
Analyze schematics, PCB layouts, circuit designs, component specifications, test results, firmware interactions, and electrical measurements to isolate hardware failures.
Develop and maintain closed-loop failure analysis and knowledge-management processes that capture repair findings and translate them into improved diagnostics, repair procedures, and technician capabilities.
Lead investigations of pervasive or difficult-to-diagnose hardware issues and provide technical recommendations to Operations, Quality, Engineering, and customer teams.
Develop and maintain engineering training materials and technical troubleshooting guides for new AI server platforms, hardware revisions, diagnostic methods, and repair technologies.
Support New Product Introduction (NPI) activities by evaluating repairability, test coverage, diagnostics, tooling, component availability, technical documentation, and technician training requirements.
Direct and provide technical guidance to engineering technicians and other support personnel performing analysis, testing, prototyping, validation, and troubleshooting activities.
Support corrective and preventive action (CAPA), Failure Mode and Effects Analysis (FMEA), Design of Experiments (DOE), and other structured problem-solving activities.
Identify opportunities for automation, improved test coverage, predictive diagnostics, and data-driven troubleshooting to improve repair quality and operational efficiency.
Support customer audits, engineering reviews, quality investigations, and technical escalations.
Perform other engineering projects and duties as assigned.