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# Design for Reliability Engineer

- **Company:** Johnson & Johnson
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $106,000.0 - $170,200.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, AutoCAD, Data Analysis, Failure Mode Effects Analysis, Python (Programming Language), MATLAB, Reliability Engineering, Software Reliability Testing, Robotic Automation Software, SAP Product Lifecycle Management (PLM), SQL Databases, Reliability of Systems, Databricks
- **Published:** July 14, 2026
- **Apply:** http://hbcunetwork.com//cgi-bin/jobs/searchJobs.cgi?job_id=35073556

## About the Role

* Bachelor’s degree in Mechanical, Electrical, Materials, Biomedical, equivalent work experience, or similar engineering field.
* 2+ years of hands-on experience in reliability engineering, DfR, structural fatigue, durability, or a closely related role.
* Experience developing and reviewing dFMEAs and translating failure modes into design/test requirements.
* Strong mechanical fatigue/durability fundamentals
* Familiarity with engineering analysis tools (e.g., FEA tools for stress analysis, or equivalent), and data-analysis tools (Excel, MATLAB, Python, or similar).
* Familiarity with reliability/statistical methods (basic Weibull, life data analysis, confidence intervals, regression).
* Good understanding of materials behavior, component selection trade-offs, and environmental stressors.
* Excellent written and verbal communication skills; able to convey technical findings to designers, test labs, and partners.
* Experience working in multi-functional teams.

Preferred Experience and Skills:

* Advanced Degree in Mechanical Engineering, Reliability Engineering, Materials Science, or similar.
* Experience developing and validating damage accumulation models and advanced reliability models.
* Practical experience with test-spec development and correlating test results with analytical models and field data.
* Experience with accelerated life-test program design and interpretation.
* Experience correlating telemetry/field-measured loads to lab tests and integrating field-derived load spectra into test programs.
* Knowledge of test instrumentation and data acquisition systems for durability tests.
* Experience with advanced data analysis using Databricks, SQL, etc., Design Failure Mode and Effect Analysis (DFMEA), Design for Reliability (DFR), Durability Testing, Fatigue Testing, Analytical Reasoning, Auto-CAD Design, Business Case Modeling, Coaching, Design Thinking, Mechanical Engineering, Problem Solving, Process Oriented, Product Reliability, Project Management Methodology (PMM), Project Support, Quality Control Testing, Research and Development, Resource Allocation, SAP Product Lifecycle Management, Technical Credibility, Technologically Savvy

## Description

As a key member in our DfR team, you will join us in our journey to deliver some of the most advanced medical robotic systems in the world. . You will embed reliability thinking into product design teams and develop specifications for our surgical robotic system. This role will drive reliability analysis, fatigue and durability assessment, and test specification development to ensure products meet lifetime requirements. The DfR Engineer will partner closely with Field Reliability Engineering, Failure Analysis, Reliability Testing, Design and Clinical engineering teams to follow through between lab testing, field performance, and product requirements.

Performance Objectives and Responsibilities:

* Translate product requirements into reliability targets, risk assessments, and verification plans for robotic hardware subsystems including actuators, motors, encoders, sensors and cabling/connectors.
* Lead DFMEA reviews and recommend failure detections and mitigations for electro-mechanical assemblies
* Drive reliability-focused design reviews (component selection, materials, architectures).
* Participate in issue/change reviews to evaluate impacts on reliability and testing.
* Develop and maintain reliability related specifications and lifecycle requirements for robotic subsystems.
* Identify operational loads/stresses and convert them into test inputs and load spectra
* Perform fatigue/durability analysis, build damage models, and correlate with test and field data.
* Partner with test engineering to define and validate ALT and custom fatigue/durability tests.
* Capture lessons learned; update FMEAs, design standards, and test methods.
* Collaborate with Field Reliability and Clinical Engineering to integrate field/clinical feedback.
* Define reliability metrics and dashboards (life curves, damage accumulation, margin).


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