Johnson & Johnson is seeking a Staff Field Reliability Engineer for its Robotics and Digital R&D Team in Santa Clara, California. The role involves enhancing product reliability through data analysis, failure investigations, and collaboration with multi-functional teams
Job Summary
This role will define field reliability metrics, establish the infrastructure for monitoring product performance in the field, and partner closely with Design for Reliability, Failure Analysis, Design Engineering, Service Engineering, and field organizations.
Review and analyze field return data, service records, and warranty trends to identify reliability risks and prioritize top field issues.
The anticipated base pay range for this position is $134,000.00 to $231,150.00.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Staff Field Reliability Engineer for its Robotics and Digital R&D Team in Santa Clara, California. The role involves enhancing product reliability through data analysis, failure investigations, and collaboration with multi-functional teams.
Salary
Base: $134,000.00 - $231,150.00; Bonus/Equity: Annual performance bonus; Benefits: Medical, dental, vision, life insurance, disability, retirement plan, 401(k), long-term incentive program, vacation, sick time, holiday pay, work/personal/family time
Skills & Requirements
Must-have
Failure Analysis
Failure Mode and Effects Analysis FMEA
Field Engineering
Reliability Engineering
statistical reliability methods
test vs. field correlation
Nice-to-have
Continuous Improvement
Design Thinking
Inclusive Leadership
Product Development
Research and Development
Team Management
Technical Credibility
Key Requirements
Bachelor’s degree in Electrical, Mechanical, Materials Engineering or related technical field
8+ years experience in reliability engineering, field engineering, failure analysis, or equivalent role
Proficiency with statistical reliability methods
Experience with common analysis tools (Excel/Power BI/Tableau, plus at least one scripting/statistics tool such as Python, R, Minitab, or JMP)