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Visual Inspection Engineer

Opportunities · Japan - Sagamihara

  • Hardware & Semiconductors
  • 10,001+ employees
  • San Jose, California

Mixed hiring record · median 56 days open

9898

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 47% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

Did you apply?

Visual Inspection Engineer at Opportunities. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Responsibilities

  • Install, qualify, and maintain automated optical inspection (AOI) systems.
  • Apply AI technologies to semiconductor product visual inspection.
  • Improve product appearance and reduce visual defects.
  • Monitor visual inspection yield and implement corrective actions.
  • Develop and optimize rule-based inspection recipes.
  • Deploy visual inspection systems and best practices to overseas sites.
  • Collaborate with R&D, Manufacturing, Quality, IT, and equipment suppliers.

Expected Background

  • Bachelor’s, master’s, or doctoral degree in engineering, science, computer science, or a related field.
  • Experience in semiconductor manufacturing, visual inspection, or equipment engineering.
  • Strong analytical and problem-solving skills.
  • Fluent Japanese communication skills.
  • Basic English communication skills for emails, documents, and online meetings.

Expected Skill

  • Mandatory experience implementing automated visual inspection using rule-based methods.
  • Mandatory experience applying AI to visual inspection.
  • Experience with AOI system installation, qualification, and recipe development.
  • Experience analyzing inspection data and improving yield.
  • Experience deploying systems or processes across multiple manufacturing sites is preferred.
  • Experience with Python, image processing, machine learning, or data analysis is preferred.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.

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