Sr Design for Reliability Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Mechanical Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson, Robotics and Digital Solutions (RAD) group is recruiting for a Senior Design for ReliabilityEngineer - Robotics, located in Santa Clara, CA. 

At Johnson & Johnson Robotics and Digital Solutions, we’re changing the trajectory of health for humanity, using robotics to enhance healthcare providers’ abilities and improve patients’ diagnoses, treatments, and recovery times. Johnson & Johnson Robotics was established in 2020 with the integration of Auris Health, Verb Surgical, C-SATS, and Ethicon. It comprises three key med-tech platforms: Flexible Robotics (MONARCH®), Surgical Robotics (OTTAVA™), and Digital Solutions. Join our collaborative, rapidly growing teams in the San Francisco Bay Area (Redwood City and Santa Clara), Cincinnati, and Seattle. You’ll collaborate on breakthrough medical technologies that unite multiple subject areas to build a connected digital ecosystem that advances medical professionals’ skills and improves patient outcomes.

Johnson & Johnson MedTech is developing a robotic surgical platform that will set a new standard for the modern OR and transform the surgical experience. OTTAVA is designed as a multi-specialty soft-tissue surgery robot, activating the benefits of AI/ML, connecting health data inside the operating room and out.

Overview:

We are seeking a proactive Design for Reliability (DfR) Engineer to embed reliability thinking into product design and 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 close the loop between lab testing, field performance, and product requirements.  

Core Job 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-driven 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).

Qualifications

Required Knowledge/Skills, Education, And Experience:

• Minimum Bachelor’s degree in Mechanical, Electrical, Materials, Biomedical, equivalent work experience, or similar engineering discipline.