Staff Image Quality Engineer

Johnson & Johnson Innovative MedicineSanta Clara, CA
Onsite

About The Position

The Robotics and Digital solutions (RAD) group, part of the Johnson & Johnson family of companies, is recruiting for a Staff Image Quality Engineer. This position is located in Santa Clara, CA. Robotics and Digital Solutions, is part of Johnson & Johnson Med Tech. At Johnson & Johnson Robotics and Digital Solutions, we’re changing the trajectory of health for humanity, using robotics to enhance healthcare providers’ abilities and improve patients’ diagnoses, treatments, and recovery times. Johnson & Johnson Robotics was established in 2020 with the integration of Auris Health, Verb Surgical, C-SATS, and Ethicon. It comprises three key med-tech platforms: Flexible Robotics (MONARCH®), Surgical Robotics (OTTAVA™), and Digital Solutions. Join our collaborative teams in the Bay Area (Santa Clara) and Cincinnati. You’ll collaborate on breakthrough medical technologies that unite multiple subject areas to build a connected digital ecosystem that advances medical professionals’ skills and improves patient outcomes.

Requirements

  • Minimum B.S. in Electrical Engineering, Computer Science/Engineering, Biomedical Engineering, Imaging Science, or equivalent practical experience.
  • 8+ years (or equivalent) experience tuning ISPs and delivering image quality improvements for camera products.
  • Strong understanding of imaging fundamentals: optics, sensors (CMOS), noise sources, color science, and Image Signal Processing algorithms.
  • Hands-on experience defining objective IQ metrics and designing subjective evaluations; demonstrated ability to correlate and reconcile the two.
  • Proficiency with data analysis and scripting (C++ and Python preferred) and familiarity with IQ measurement tools and workflows.
  • Practical experience with image processing libraries and workflows (e.g., OpenCV) and building visualization/dashboards to communicate IQ results.
  • Strong cross-functional communication skills and experience collaborating with vendors/partners on camera modules, sensors, lenses, and calibration.
  • Familiarity with Linux

Nice To Haves

  • Advanced Degree in Electrical Engineering, Computer Science/Engineering, Biomedical Engineering, Imaging Science, or equivalent practical experience.
  • Familiarity with medical device quality systems and design controls (e.g., risk management, change control).

Responsibilities

  • Own end-to-end ISP tuning for robotic endoscopy and drive tuning changes from concept through verification and release.
  • Develop and prototype image processing algorithms for endoscopic video and work with cross-functional teams to implement and optimize them in the production pipeline.
  • Define, implement, and maintain objective IQ metrics and KPIs aligned to product requirements.
  • Build a repeatable subjective IQ evaluation and correlate subjective outcomes to objective measurements.
  • Lead regular IQ reviews, communicate progress, risks, and tradeoffs to engineering leadership and program stakeholders.
  • Develop, enhance and maintain tools and test setups for ISP tuning and objective IQ measurements.
  • Create and scale automation for IQ performance testing, metric computation, and report generation to enable fast tuning iteration and release gating.
  • Drive IQ root-cause investigations and isolate issues across sensor, optics, ISP blocks, firmware, and algorithm interactions; propose and validate fixes.
  • Partner with cross-functional teams and suppliers to set IQ requirements.

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • short- and long-term disability
  • business accident insurance
  • group legal insurance
  • consolidated retirement plan (pension)
  • savings plan (401(k))
  • long-term incentive program
  • Vacation – up to 120 hours per calendar year
  • Sick time - up to 40 hours per calendar year
  • Holiday pay, including Floating Holidays – up to 13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
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