Machine Vision Application Engineer

We are seeking a Machine Vision Application Engineer to support the deployment, delivery, and technical support of our internally developed vision software platform. This role focuses on project delivery, onsite execution, imaging design, and customer-facing technical support, working closely with cross-functional teams to ensure successful implementation in production environments.

The ideal candidate has strong hands-on machine vision experience, is comfortable working on customer sites, and can bridge software, hardware, and practical manufacturing needs., Machine Vision Project Delivery

• Deliver end-to-end machine vision projects using platforms such as Cognex VisionPro, MVTec HALCON, Keyence, and similar systems.

• Execute full project lifecycle activities including:

• Requirement analysis

• Imaging solution design

• Onsite deployment and validation

• Production handover and stabilization

Imaging System Design & Optimization

• Design and optimize imaging solutions based on application requirements, including:

• Camera selection (area scan, line scan, color/mono, high-speed, high-resolution)

• Lens selection and field-of-view calculation

• Lighting design (bright/dark field coaxial, dome, structured light, etc.)

• Perform and validate the complete imaging workflow: Image acquisition * lighting & optics tuning * verification * readiness for mass production

Onsite Execution & Customer Support

• Execute onsite system installation, commissioning, and troubleshooting.

• Provide customer training for operators, engineers, and maintenance teams.

• Support customers during ramp-up and post-deployment phases to ensure stable production performance.

Project Coordination & Follow-Up

• Participate in basic project management activities:

• Task planning and execution tracking

• Coordination with internal R&D, software, and global support teams

• Documentation, training materials, and technical handover

• Continuously follow up on deployed systems and drive improvements.

• Bachelor's degree or above in Engineering, Computer Science, Automation, Mechatronics, or a related field.

• Hands-on experience delivering machine vision projects in industrial or manufacturing environments.

• Strong experience with one or more of the following: Cognex VisionPro/MVTec HALCON/Keyence vision systems

• Solid understanding of machine vision hardware:

• Industrial cameras, lenses, and lighting

• Imaging principles, optics, and illumination techniques

• Experience taking vision systems from prototype to production deployment.

• Proficiency in Python and/or C# for scripting or basic application development.

• Willingness to travel to customer sites as required

• Ability to communicate effectively in both Chinese (Mandarin) and English., BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver's license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.