> Markdown version of [/jobs/ext/4188865-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/4188865-reliability-engineer). 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). --- # Reliability Engineer - **Company:** Amphenol TCS - **Location:** Valley Green, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Centers, Decision Support Systems, Reliability Engineering, Data Analytics - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b1ef3a6b5061b662 ## About the Role * Bachelor's degree in Electrical Engineering, Mechanical Engineering, or related field * 5+ years of experience in reliability engineering, validation, or failure analysis for cable assemblies, connectors, or high-speed interconnects. * Strong understanding of high-speed electrical performance and how it degrades over time and stress. * Hands-on experience with mechanical and environmental testing of cable assemblies. * Proven experience diagnosing intermittent and mixed electrical-mechanical failures. * Proficiency with reliability statistics and life data analysis (Weibull, ALT correlation). * Strong cross-functional communication and technical leadership skills. Additional Qualifications * Experience with AI data center or hyperscale infrastructure. * Familiarity with high-speed copper and hybrid cable technologies (DAC, AOC, internal high-speed harnesses). * Working knowledge of SI/PI concepts (eye margin, BER, impedance control) as they relate to reliability. * Familiarity with relevant standards (IPC, IEC, Telcordia, MIL-STD, or equivalent). * Ability to travel internationally and domestically, up to 20%. Key Competencies * Systems-level thinking across electrical, mechanical, and environmental domains * Strong lab-based troubleshooting and root cause analysis * Data-driven decision making under ambiguity. * Ability to balance performance, reliability, cost, and deployment speed. * Clear, concise technical communication ## Description Test, Validation & Qualification * Develop and execute reliability and qualification test plans specific to AI-scale cable assemblies, including: + Thermal cycling and thermal aging + Temperature/humidity bias (THB) + Vibration and mechanical shock + Flex, bend, torsion, and pull testing + Connector mating/unmating durability + Accelerated life testing (ALT) with combined stresses Failure Analysis & Root Cause * Lead complex electrical-mechanical failure analysis for cable assemblies, including: + Intermittent opens and shorts + Signal degradation over life + Connector fretting, corrosion, or plating wear + Crimp, weld, or termination failures. * Apply structured root cause methods (8D, 5-Why, Fishbone) supported by: + Electrical probing and TDR + X-ray and micro sectioning + Optical and SEM analysis (as applicable) Reliability Modeling & Data Analytics * Build life and reliability models (Weibull, Arrhenius, Coffin-Manson, Miner's rule) appropriate for cable and connector failure mechanisms. * Correlate accelerated test results with field data to validate models and confidence levels. * Analyze FRACAS, RMA, and deployment data to identify systemic risks across large-scale AI infrastructure. * Understanding of FIT and MTBF software Technical Leadership & Documentation * Author reliability reports, qualification summaries, and launch readiness documentation suitable for executive and customer review. * Clearly communicate reliability risks and tradeoffs in high-performance AI systems.