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Johnson & Johnson Logo

Staff Software Engineer NPI

Johnson & Johnson

$114,000 - $197,800
Oct 9, 2025
Santa Clara, CA, US
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Johnson & Johnson is looking to solve business problems related to manufacturing and surgical technologies by developing and implementing AI/ML solutions, improving business processes, and enhancing user experiences within their Robotics & Digital Solutions team.

Requirements

  • Strong proficiency in Edge Computing and Cloud Computing
  • Familiarity with model deployment and scaling in multiple cloud environments (AWS, Azure, Google Cloud)
  • 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 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

Responsibilities

  • Investigate and develop AI technologies and solutions to the manufacturing environment
  • Collaborate with cross-functional teams to identify and implement AI/ML solutions to improve business processes and user experiences
  • Implement and maintain cloud computing infrastructure
  • Perform data analysis and preprocessing to support model training, including handling large datasets and cleaning raw data
  • Stay up-to-date with the latest trends and advancements in AI/ML research, applying new techniques and methodologies to improve product offerings
  • Design and implement automated unit and integration test for robotic hardware and/or PCAs
  • Develop modular test scripts to automate test data collection and analysis

Other

  • Strong leadership capabilities to manage, coach and develop junior Software Engineer, NPI team
  • Capable of communicating complex technical problems to a wide audience of experience
  • Produce high quality documentation that is clearly understandable by internal and external personnel
  • Ability to travel up to 10% to contract manufacturers is required
  • Strong level of ownership, accountability, and drive for exceeding expectations