Staff Engineer, AI MLSurgical Robotics OTTAVA

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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.

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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 ourexpertisein Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs oftomorrow andprofoundlyimpacthealth for humanity. Learn more at

As guided by Our Credo Johnson & Johnsonisresponsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person isconsidered asan individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize theirmerit.

About MedTech Surgery

Fueled by innovation at the intersection of biology and technologyweredeveloping 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 teamthatsreimagining 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 worlds most prevalent conditions such as obesity cardiovasculardiseaseand cancer. Patients are waiting.

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

at 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 andoperateproduction-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.

• EstablishMLOpsand governance practices (model versioning experiment tracking reproducibility access control audit trails) aligned to regulated manufacturing expectations (CSVGxPwhere applicable).

• Partner with Manufacturing Engineering Operations Quality IT and R&D to prioritize and scale high-value use cases (predictive quality anomaly detectionpredictive maintenance process optimization) and translate them into scalable analytics; ensure adoption through documentation playbooks training and stakeholder engagement.

• Apply statistical methods and experimentation (e.g. DOE SPC capability analysis) to quantify driversvalidateimprovements and support continuous improvement.

Qualifications:

• Bachelors orMasters degree in Computer Science Data Science Statistics Engineering or a related quantitative field.

• 7 years of experience delivering analytics and/or ML solutions in production environments (manufacturing supply chain healthcare/MedTech or other regulated industries preferred).

Required:

• Proventrack recorddelivering ML/AI solutions into production at scale; experience in manufacturing or industrial/OT environmentsstronglypreferred.

• Experience with manufacturing and industrial data sources (e.g. MES OPC UA PLC logs telemetry sensors) and translating domain requirements into deployable ML solutions.

• Strong Pythonskills;experience with ML libraries (e.g. scikit-learn TensorFlowPyTorch) and data processing frameworks (e.g. Spark/PySpark).

• Hands-onMLOpsexperience including orchestration CI/CD model serving monitoring/observability automated retraining and experiment tracking ().

• Proficiencyin SQL and data modeling; familiarity withlakehouse/data lake patterns (e.g. Delta) and cloud data services (AWS or Azure equivalents) including secure architecture design.

• Appliedexpertisein time-series and process analytics (anomaly detection forecasting classification/regression) including feature engineering and model interpretability/performance evaluation.

• Experience with model governance validation and compliance in regulated environments; familiarity with data governance security and role-based access controls (CSV/GxPwhere applicable).

• Strong communicationand stakeholder-management skills including the ability to document architecture/validation artifacts and present to technical and non-technical audiences.

Preferred:

• Experience with cloud analytics andlakehouseplatforms and orchestration (e.g. Databricks Spark/Delta) and effective collaboration with data engineering teams.

• Familiarity with digital manufacturing architectures and standards (e.g. ISA-95/ISA-88); unified naming/semantic standards are a plus.

• Experience with visualization and decision-support tools (e.g. Power BI Tableau) and building role-appropriate dashboards.

Other:

• May require up to10% of domestic and/or international travel
• The attendance policy required for this role is Fully Onsite

Johnson & Johnsonisan Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federalstateor local law. We actively seek qualified candidates who areprotectedveterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnsoniscommitted to providing an interview process that isinclusive ofour applicants needs. If you are an individual with a disability and would like to requestan accommodation external applicants please contact us via internal employees contactAskGSto be directed to your accommodation resource.

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Staff IC