Senior Debug & Reliability Engineer

littelfuse; Chicago (IL); On-site; MXN 1,531,000 - 2,212,000; Full time

Job summary

Littelfuse is seeking a Senior Debug Engineer to identify, analyze, troubleshoot, and resolve complex product and system issues. You will work with engineering, quality, manufacturing, testing, and operations teams to drive root-cause analysis, implement corrective actions, and improve reliability and performance.

Ideal candidates bring 10+ years in debugging, failure analysis, or related technical roles within electronics, automotive or industrial environments, plus strong data-analysis and

Qualifications

• 10+ years of experience in debugging, failure analysis, manufacturing engineering, quality engineering, test engineering, or related technical roles.
• Experience in manufacturing, electronics, automotive, industrial, semiconductor, or technology environments preferred.
• Strong understanding of troubleshooting methodologies and data-driven problem solving.

Responsibilities

• Investigate and diagnose product failures, defects, and performance issues.
• Perform root cause analysis using established methods (5 Whys, Ishikawa, FTA, FMEA).
• Lead corrective actions and CAPA tracking to verify effectiveness.
• Develop and improve debug procedures and knowledge-base documents.
• Collaborate cross-functionally with product, design, manufacturing, QA, and test teams.

Skills

Root cause analysis

Troubleshooting

Data analysis tools

Schematics interpretation

Programming/scripting

Tools

Oscilloscopes

Test equipment

Minitab

JMP

Power BI

Excel

Job description

Littelfuse is seeking a Senior Debug Engineer to identify, analyze, troubleshoot, and resolve complex product and system issues. You will work with engineering, quality, manufacturing, testing, and operations teams to drive root-cause analysis, implement corrective actions, and improve reliability and performance.

Ideal candidates bring 10+ years in debugging, failure analysis, or related technical roles within electronics, automotive or industrial environments, plus strong data-analysis and