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Lonza

Global life sciences contract manufacturer

Manufacturing Automation & Machine Vision Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeSagamihara, Kanagawa, JapanNo salary listed

About the Job

Requirements

  • A bachelor's degree or higher in Engineering, Computer Science, Information Technology, Electrical/Electronic Engineering, Mechatronics, or a related technical field.
  • At least 2 years of hands-on engineering or software development experience.
  • Practical programming experience using one or more of C#, C++, C, or Python.
  • Practical experience in at least one of machine vision or computer vision, image processing, automated visual inspection, industrial automation or manufacturing equipment, or software development for manufacturing systems or inspection equipment.
  • Strong problem-solving skills and a hands-on approach to investigating and resolving technical issues.
  • Ability to communicate effectively in Japanese in a manufacturing environment, including technical discussions with production operators, maintenance technicians, engineers, and other local stakeholders.

Responsibilities

  • Develop and improve automated visual inspection and machine vision systems used in capsule manufacturing.
  • Develop and enhance inspection-system user interfaces and application software, primarily using C# and related technologies.
  • Develop, modify, and optimize image-processing and inspection functions for detecting defects and improving inspection performance.
  • Integrate inspection systems with manufacturing equipment, factory management systems, databases, and other data systems.
  • Acquire, analyze, and use inspection and manufacturing data to identify opportunities for quality and productivity improvement.
  • Investigate abnormal inspection results, equipment or software issues, and performance degradation; identify root causes and effective countermeasures.
  • Work directly with production and maintenance teams to understand shop-floor problems and translate them into practical engineering solutions.
  • Support the introduction, commissioning, validation, and continuous improvement of new inspection and manufacturing equipment.
  • Improve the reliability, maintainability, and usability of existing inspection systems and software.
  • Evaluate and introduce image processing, artificial intelligence, data analytics, and automation technologies where they provide meaningful business value.
  • Collaborate with global engineering, research and development, information technology, and external equipment suppliers on technical projects and new technology introduction.
  • Document solutions, operating methods, and technical knowledge to sustain and standardize improvements.

Desired Qualifications

  • Experience with OpenCV, optical character recognition, image analysis, image recognition, inspection algorithms, industrial cameras, image acquisition, lighting, lenses, or other machine-vision components.
  • Experience integrating software with programmable logic controllers, sensors, cameras, motion systems, or other industrial equipment.
  • Experience with SQL or SQL Server and manufacturing or inspection data.
  • Experience with manufacturing execution systems, supervisory control and data acquisition, historians, or other manufacturing data systems.
  • Experience applying artificial intelligence or machine learning to image recognition or anomaly detection.
  • Experience working with external equipment suppliers and managing technical implementation.
  • Experience in regulated manufacturing such as pharmaceutical, medical device, food, or other high-quality manufacturing industries.
  • Experience working in a global or multinational organization.
  • Ability to communicate in English with global colleagues and technical partners.
  • Enjoy working close to the manufacturing floor rather than only working behind a desk.
  • Ability to translate an ambiguous shop-floor problem into a technical problem and develop a solution independently.
  • Willingness to learn technologies outside one's existing specialty.
  • Ability to combine software, equipment, image processing, and data to solve manufacturing problems.
  • Ownership from problem identification through implementation, verification, and standardization.
  • Ability to explain technical issues clearly to engineers and non-technical colleagues.

About the Company

Lonza

Global life sciences contract manufacturer

Lonza is a global provider of development and manufacturing services for the pharmaceutical, biotechnology, and nutrition sectors. It supports clients from early development through to commercial production, offering integrated processes such as process development, GMP manufacturing, formulation, fill-finish, and quality assurance to bring medicines and nutrition products to market. Lonza’s model is built on end-to-end CDMO capabilities, enabling companies to move from concept to scalable, compliant production with reliable supply chains. What sets Lonza apart is its long history and global footprint, combining decades of experience across chemistry, biology, and nutrition with a broad, end-to-end service network that supports projects from discovery to commercialization. The company aims to be a trusted, long-term partner in life sciences by helping customers efficiently develop and manufacture their products at scale while maintaining strict regulatory and quality standards.

Company size
10,001+
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1897

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