Staff Engineer AI & ML-OTTAVA

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:

Supply Chain Engineering

Job Sub Function:

Automation Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson RAD (Robotics and Digital) is seeking for a Staff Engineer AI & ML – OTTAVA, for our Santa Clara, Location.

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. 

About MedTech Surgery 

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. 

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting. 

Your unique talents will help patients on their journey to wellness. Learn more

at https://www.jnj.com/medtech 

Purpose

The Staff Engineer in Analytics and AI/ML for Digital Manufacturing is dedicated to advancing data-driven manufacturing within our supply chain operations. This role involves leading the design, development, and implementation of analytics and artificial intelligence/machine learning solutions that provide both diagnostic and predictive insights to support real-time performance management and informed decision-making in intelligent, compliant operations.

The successful candidate will collaborate with stakeholders across Manufacturing Engineering, Operations, Quality, J&J Technology, and R&D to deliver practical solutions that generate measurable business benefits and support the scaling of future operations. 

Key Responsibilities 

• Define technical requirements and architecture for analytics and AI/ML solutions across manufacturing environments (edge, OT, and cloud). 

• Lead end-to-end delivery of analytics and ML solutions, including data ingestion, feature engineering, model development, validation, deployment, and lifecycle management. 

• Design, implement, and operate production-grade pipelines and inference (batch and real time), with monitoring and SLAs for latency, availability, and throughput. 

• Translate manufacturing challenges (yield, downtime, quality, throughput) into measurable use cases with clear KPIs and expected ROI. 

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