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Computer Vision Engineer – Semiconductor Automation (MNC | Immediate Hiring)

StaffKing Pte Ltd

Singapore

On-site

SGD 60,000 - 80,000

Full time

3 days ago
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Job summary

A recruitment agency in Singapore is seeking a professional to design and optimize vision algorithms for defect detection in semiconductor manufacturing. The ideal candidate should have a degree in a related field and experience with deep learning models. This position offers a basic salary of $6000, AWS, and travel opportunities.

Benefits

Basic Salary: $6000 + AWS + VB
MNC with good career opportunity
Travel opportunities with allowance
In-house canteen and nearby amenities

Responsibilities

  • Design and optimize vision algorithms for defect detection in semiconductor manufacturing.
  • Develop deep learning models to improve inspection speed and accuracy.
  • Integrate vision systems with robotics and automation equipment.
  • Collaborate with cross-functional teams to enhance production yield.
  • Analyze performance data, validate models, and tune systems.

Education

Degree in Computer Science, Electrical Engineering, Robotics, or related field
Job description
Job Highlights:
  • Basic Salary: $6000 + AWS + VB
  • MNC with good career opportunity
  • Travel opportunities with allowance
  • In-house canteen and nearby amenities
Job Responsibilities:
  • Design and optimize vision algorithms for defect detection and process automation in semiconductor manufacturing
  • Develop deep learning models to improve inspection speed and accuracy
  • Integrate vision systems with robotics and automation equipment such as die bonders and wire bonders
  • Collaborate with cross-functional teams to enhance production yield through real-time vision solutions
  • Analyze performance data, validate models, and tune systems for reliability and efficiency
Job Requirements:
  • Degree in Computer Science, Electrical Engineering, Robotics, or related field

Please submit your updated resume in MS Word format via the "Apply Now" button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Ng Jia Yee (R22019579)

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