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Principal Software Engineer - Tech Lead

Johnson & Johnson
Santa Clara, United Statesfull_timeVerifiedPosted 1 Jun 2026
💰 $271,400/yr($157,000/yr$271,400/yr)

About the role

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 Software/Systems Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson MedTech is focused on shaping the future of digital surgery and expanding its robotics and digital solutions offerings across the entire portfolio, with multi-specialty, end-to-end solutions in endoluminal intervention, general surgery and a comprehensive digital portfolio. This includes the Polyphonic® platform, a first-of-its-kind digital platform that advances patient empowerment, surgical performance, operating room (OR) collaboration and operational efficiency by synchronizing devices, data and AI driven insights in one place to simplify access, build confidence and unify a non-linear care experience.  

We are recruiting for a Principal Software Engineer – Technical Lead, within the Polyphonic® Product Engineering team located in Santa Clara, CA. Johnson & Johnson is building the next generation of intelligence infrastructure and platforms to capture, extract, and apply intelligence from the OR and surgical workflows.  

This is an opportunity to work with a multi-disciplinary team of product managers, applied scientists, software engineers, and clinical experts who will push the boundaries for surgical AI and make it widely accessible. ML Platform is central to scaling training and inference across millions of video frames and images and drives core AI functionality for the developer workflows. We build primitives and foundational capabilities that would let internal and external teams train, evaluate, deploy, operate and monitor models quickly and compliantly, essentially automating experimentation to production workflows. We’re looking for a Principal Engineer who treats platform as a product and can turn complex ML/AI workflows into clear, durable APIs and easy-to-use CLIs/UIs that data scientists and developers would love. 
 
This role blends product thinking, developer experience, backend engineering, and fluid user experience combining deep code vs no-code. Hands on ML experience is a plus.  

 
You Will  

  • Bring technical ownership of a platform as a product and ship scalable APIs, SDKs, CLIs, and UIs that make ML platform easy to adopt and cater specifically to accelerate surgical AI. 

  • Build shared ML infra with the platform infrastructure team and principal engineers for the infrastructure team to develop/extend core components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. 

  • Design great developer experiences with defined templates, golden paths, opinionated defaults, and clear documentation to reduce time to first production.  

  • Develop instrumentation to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes.  

  • Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU intensive training and highQPS inference.

  • Stay up to date with industry trends in machine learning and infrastructure to ensure the adoption of groundbreaking technologies and practices.  

 

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Company

Johnson & Johnson

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