Staff AIML Software Engineer – Navigation R&D
Boston, MA - USA
Job Summary
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.
Job Function:
R&D Product DevelopmentJob Sub Function:
R&D Software/Systems EngineeringJob Category:
Scientific/TechnologyAll Job Posting Locations:
Boston Massachusetts United States of America Warsaw Indiana United States of AmericaJob Description:
We are searching for the best talent for a Staff AI/ML Software Engineer Navigation R&D. This is a hybrid role to be based out of Boston MA or Warsaw IN.
Purpose:
As a Staff AI/ML Software Engineer in the Navigation R&D team you will architect plan and lead the AI/ML development and integration for nextgeneration surgical navigation and planning systems. You will serve as the technical bridge between AI/ML and software engineering teams assisting the software teams with translating models into production-grade maintainable software components. Youll collaborate closely with a cross-functional team of software systems hardware firmware quality and regulatory partners to deliver safe reliable and scalable software that directly impacts patient outcomes.
Job Responsibilities:
- Be a key contributor in the evolution of DePuy Synthes AI/ML platform for flexible machine learning model training fine-tuning transformation and evaluation across surgical navigation initiatives driving model improvements using the latest techniques.
- Build and integrate production ready ondevice and cloud-based AI/ML models into the navigation software product owning model packaging versioning and deployment while meeting real-time performance latency memory and compute constraints.
- Co-Lead definition development and maintenance of APIs and data contracts between ML components and the navigation software partnering with software engineers to ensure models are testable maintainable and verifiable within the product.
- Contribute to regulatory documentation traceability and V&V aligned with IEC 62304 ISO 14971 and related guidance; support submissions (e.g. FDA 510(k)) as needed.
- Contribute to product planning and Agile/Scrum delivery lead design/code reviews to sustain longterm maintainability and mentor engineers.
Required Qualifications:
- BS/MS in Machine Learning Artificial Intelligence Computer Science Computer Engineering or a related field
- 8 years of overall software engineering experience including 5 years delivering machine learning models into production software (or equivalent)Significant hands-on experience developing optimizing and deploying ML models for image-based inference (e.g. classification object detection segmentation landmark/pose estimation) in production software
- 2 years of participating in a scrum team as an AI/ML software SME with excellent communication collaboration and technical influence skills. Proven ability to lead architecture and design reviews
- Highly proficient in Python with strong object-oriented design design patterns and unit/integration testing skills
- Proven experience with developing deploying and maintaining AI/ML processes in a large user base production environment. (Enterprise MLOps experience a huge bonus)
- Demonstrable expertise in ML frameworks (TensorFlow Keras PyTorch scikit-learn etc.) and ML model training/optimization both local and cloud (AWS SageMaker Azure Machine Learning studio)
- Experience developing AI systems in regulated environments (e.g. SaMD) such as surgical medical imaging or healthcare-related AI/ML applications across the full SDLC: requirements design implementation implementation testing technical documentation traceability validation release and maintenance
Preferred Qualifications:
- Demonstrated experience in multiple types of AI technologies beyond traditional Machine Learning (Agentic AI Generative AI LLMs) including AI-driven development and testing
- Experience developing machine learning models using various input data types beyond static images (point clouds numerical data text data etc.)
- Experience with (C#) API development
- Experience with requirements design documentation in tools like Polarion JAMA etc.
About Orthopaedics:
Fueled by innovation at the intersection of biology and technology were developing the next generation of smarter less invasive more personalized treatments.
Are you passionate about improving and expanding the possibilities of Orthopaedics Ready to join a team thats reimagining how we heal Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports extremities and elective foot and ankle; spine; and robotics and digital surgery.
Johnson & Johnson is an 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 federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request accommodation please contact us via or contact AskGS to be directed to your accommodation resource.
#LI-MQ1
Required Skills:
Preferred Skills:
AI Judgement Integration Analytical Reasoning Coaching Model-Based Systems Engineering (MBSE) Process Oriented Product Design Requirements Analysis Research and Development SAP Product Lifecycle Management Scripting Languages Software Development Life Cycle (SDLC) Software Development Management Software Engineering Practices Software Testing Systems Development Lifecycle (SDLC) Technical Credibility Technologically SavvyThe anticipated base pay range for this position is :
$94000.00 - $151800.00Additional Description for Pay Transparency:
Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:
Vacation 120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year
Holiday pay including Floating Holidays 13 days per calendar year
Work Personal and Family Time - up to 40 hours per calendar year
Parental Leave 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave 80 hours in a 52-week rolling period10 days
Volunteer Leave 32 hours per calendar year
Military Spouse Time-Off 80 hours per calendar year
For additional general information on Company benefits please go to: - additional general information on Company benefits please go to: Experience:
Staff IC
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more