Application Engineer (Die Sorter/Die Bonding)

RECRUIT EXPERT PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment firm in Singapore is looking for a candidate skilled in optimizing equipment processes within semiconductor manufacturing. The role involves defining parameters for die sorter or die bonder machines, collaborating with QA teams, and analyzing process data for continuous improvement. Candidates should possess a relevant engineering degree and at least 3 years of experience in the field.

Qualifications

• At least 3 years of experience in an equipment or semiconductor manufacturing environment.
• Strong knowledge in process design, control, and optimization.
• Proficient in cycle time calculation and material science.

Responsibilities

• Define and optimize equipment process parameters for die sorter or die bonder machines.
• Collaborate with QA and engineering teams to resolve process-related issues.
• Analyze process data using SPC, DOE, and other statistical tools.

Skills

Process design and optimization

Statistical process control (SPC)

Design of experiments (DOE)

Technical problem-solving

Collaboration with QA and engineering

Education

Degree in Production, Mechanical, or Material Science Engineering

Tools

Statistical analysis tools

Vision inspection systems

Laser marking equipment

Job description

Job Responsibilities

• Define and optimize equipment process parameters for die sorter or die bonder machines to meet performance specifications.
• Collaborate with QA and engineering teams to streamline internal buy‑off specs and resolve process‑related issues.
• Analyze process data using SPC, DOE, and other statistical tools to drive continuous improvement.
• Support customer applications, provide technical solutions, and train internal teams on equipment performance.

Requirements

• Degree in Production, Mechanical, or Material Science Engineering or equivalent.
• At least 3 years of experience in an equipment or semiconductor manufacturing environment.
• Strong knowledge in process design, control, and optimization; experience with die‑sorting, vision inspection, or laser marking.
• Proficient in SPC, DOE, and other statistical tools; familiarity with cycle time calculation and material science.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [e-mail]

EA Licence: 19C9701

Registration: R21100996