MACH Applications Engineer: Patterning & Yield Expert

KLA; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

KLA is seeking researchers, software engineers, and process engineers to join the MACH team and lead new product introduction projects with customers. The role involves on-site investigations, data analysis, and developing tool-control solutions to reduce patterning errors and improve yield.

Ideal candidates hold advanced degrees in Engineering/Physics/Materials Science and have hands-on experience with semiconductor process tools and metrology systems.

Qualifications

• Hands-on experience with semiconductor process tools and metrology applications.
• Strong analytical and communication skills with ability to problem-solve.
• Experience in one or more of: overlay, scanner tools, lithography/metrology, etch/metrology, process development.

Responsibilities

• Lead projects related to new product introduction, including definition, characterization, alpha testing, and beta testing.
• Provide pre- and post-sales application support with customers to define problems and resolve issues.
• Develop Best Known Methods (BKM) documents and training materials.
• On-site investigations with customer teams to identify root causes of patterning errors.
• Design and implement process tool control solutions to minimize patterning errors and improve yield.
• Collaborate with customers to publish papers in industry journals and conferences.
• Hands-on work with KLA metrology systems and software.

Skills

Analytical thinking

Problem-solving

Communication

Team collaboration

Programming or scripting

Education

Bachelor's/Master's/PhD in Engineering or related

Tools

KLA metrology systems

Metrology software

Process control tools

Job description

KLA is seeking researchers, software engineers, and process engineers to join the MACH team and lead new product introduction projects with customers. The role involves on-site investigations, data analysis, and developing tool-control solutions to reduce patterning errors and improve yield.

Ideal candidates hold advanced degrees in Engineering/Physics/Materials Science and have hands-on experience with semiconductor process tools and metrology systems.