Computer Vision Engineer – Visa & Relocation Provided

🏢 Johnson & Johnson📍 Edison, NJ, United States💼 Full-Time💻 On-site🏭 Medical Devices💰 100000-150000 per year

About the Company

Johnson & Johnson is a globally recognized leader in healthcare innovation, committed to improving the health and well-being of people worldwide. With a legacy of over 135 years, we bring groundbreaking ideas, products, and services to life. Our diverse portfolio spans pharmaceuticals, medical devices, and consumer health, driven by a deeply embedded culture of research and development. We foster an environment where talent thrives, offering unparalleled opportunities for professional growth and impact.

Job Description

We are seeking an innovative and highly skilled Computer Vision Engineer to join our advanced medical device R&D team in Edison, NJ. This is an exceptional opportunity for an individual passionate about leveraging cutting-edge computer vision and machine learning techniques to develop next-generation healthcare solutions. The successful candidate will play a critical role in designing, developing, and deploying robust vision systems for various applications, including surgical robotics, diagnostic imaging, and intelligent monitoring. We offer comprehensive visa sponsorship and a relocation package for qualified international candidates looking to make a significant impact in a leading global healthcare company.

Key Responsibilities

  • Design, develop, test, and deploy advanced computer vision algorithms for medical device applications.
  • Research and evaluate new CV/ML techniques, including deep learning, for improving system performance and capabilities.
  • Collaborate with cross-functional teams (software engineers, hardware engineers, clinical experts) to integrate vision systems into complex medical products.
  • Optimize algorithms for real-time performance, efficiency, and robustness on embedded systems or cloud platforms.
  • Contribute to the entire product development lifecycle, from concept and prototyping to validation and commercialization.
  • Ensure compliance with medical device regulatory standards and quality requirements.
  • Document technical designs, research findings, and testing protocols.

Required Skills

  • Strong proficiency in Python and C++ for computer vision development.
  • Extensive experience with computer vision libraries such as OpenCV.
  • Solid understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Expertise in image processing, feature extraction, object detection, segmentation, and tracking.
  • Fundamental knowledge of machine learning concepts and algorithms.
  • Ability to work effectively in a collaborative team environment.
  • Excellent problem-solving skills and analytical thinking.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Prior experience in medical imaging, surgical robotics, or related regulated industries.
  • Experience with 3D computer vision, SLAM, or augmented/virtual reality.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment and data processing.
  • Publications in top-tier computer vision conferences or journals.

Perks & Benefits

  • Comprehensive visa sponsorship and relocation assistance package.
  • Competitive salary and performance-based bonuses.
  • Health, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Paid time off (vacation, sick leave, holidays).
  • Professional development opportunities and tuition reimbursement.
  • On-site fitness centers, wellness programs, and employee assistance programs.
  • Opportunities for career growth within a global organization.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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