Staff Software Engineer NPI

Johnson & Johnson Innovative MedicineSanta Clara, CA
5d$118,000 - $203,550

About The Position

Johnson & Johnson is recruiting for a Staff Software Engineer-NPI, to join our Robotics & Digital Solutions team in Santa Clara, CA. About MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech Roles and responsibilities We are seeking a Staff Software Engineer in a NPI Manufacturing Engineering organization to design, build, and scale a robust data infrastructure that enables the collection, integration, and analysis of manufacturing data across equipment, test systems, automation platforms, and enterprise systems. This role will be foundational in enabling standardized, high‑quality data pipelines that support real‑time visibility, advanced analytics, AI/ML use cases, and digital manufacturing initiatives.

Requirements

  • B.S. or higher in Computer Science or Computer Engineering (or similar degree)
  • 8+ years work experience in software roles
  • Strong proficiency in Edge Computing and Cloud Computing
  • Familiarity with model deployment and scaling in multiple cloud environments (AWS, Azure, Google Cloud)
  • Experience and collaboration with enterprise level IT organizations
  • Experience working on instrumentation automation and using scripting languages such as Python, Shell, Batch, Bash or Linux commands.
  • Experience with version control systems such as Git
  • Experience in Product Lifecycle Management systems such as Oracle Agile
  • Ability to travel up to 10% to contract manufacturers is required

Nice To Haves

  • Experience in the medical device industry and standards
  • Experience with industry 4.0 technologies and smart manufacturing
  • Experience in developing AI-based applications such as natural language processing (NLP) generative AI in Small language models, computer vision, or recommendation systems
  • Knowledge of deep learning techniques, reinforcement learning, and neural networks or other advanced machine learning paradigms
  • Familiarity with MLOps principles and tools for automating machine learning workflows
  • Knowledge of database systems (SQL, NoSQL) and data storage solutions
  • Knowledgeable and current with Industry automation trends and technologies
  • Familiarity working on Advanced automation including articulated robotics

Responsibilities

  • Collaborate with cross-functional teams in creation of a data strategy
  • Design and implement scalable data pipelines to ingest manufacturing data from diverse sources such as equipment, test systems, vision systems, MES, and IoT platforms
  • Build cloud‑based and/or hybrid data platforms enabling batch and streaming data processing.
  • Develop APIs and services that enable consumption of manufacturing data by analytics, dashboards, AI/ML models, and downstream applications.
  • Partner with enterprise IT and architecture teams to align with security, compliance, and scalability standards.
  • Define and implement common data models, schemas, and metadata standards to support consistency across software platforms
  • Investigate and develop AI technologies and solutions for the manufacturing environment
  • Perform data analysis and preprocessing to support model training, including handling large datasets and cleaning raw data
  • Support development of automated unit and integration test for robotic hardware and/or PCAs
  • Develop modular test scripts to automate test data collection and analysis
  • Help to structure new software and refactor existing software for testability
  • Hold formal technical reviews with stakeholders to release software libraries, tools, documentation, and test scripts
  • Management of software projects
  • Coaching and development of junior software engineers
  • Communication of complex technical problems to a non-technical audience
  • Applies disciplined software decision‑making process
  • Lead software strategies in development and validation
  • Develop coding standards to be used by the entire NPI Engineering organization
  • Align teams and individuals in software best practices
  • Produce high quality documentation that is clearly understandable by internal and external personnel
  • Strong level of ownership, accountability, and drive for exceeding expectations

Benefits

  • Subject to the terms of their respective plans, employees are eligible to participate in the Company’s 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: - https://www.careers.jnj.com/employee-benefits
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