mid Machine Learning Engineer ic Bachelor's · Posted Jul 7, 2026

About this role

KLA is hiring a mid-level Machine Learning Engineer based in Hsinchu, Taiwan. The posting calls out experience with C++, CUDA, Data Structures. Listed education preference: a bachelor's degree or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Hsinchu, Taiwan
Education
Bachelor's degree
Posted
Jul 7, 2026
AI Summary
Develop image processing, signal processing, and AI algorithms for wafer inspection, defect detection, and metrology in semiconductor manufacturing. Deploy solutions and provide customer support at leading manufacturers like TSMC. Requires strong technical expertise in algorithm development with hands-on problem-solving capabilities.

Job description

from KLA careers

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Algorithm Engineer to join our team developing next-generation optical inspection and metrology solutions for the semiconductor industry. This position combines advanced algorithm development with hands-on deployment, troubleshooting, and customer support activities at leading semiconductor manufacturers, including TSMC.

Job Description/Preferred Qualifications

Position Overview
The successful candidate will develop innovative image processing, signal processing, and artificial intelligence (AI) algorithms that enable breakthrough capabilities in wafer inspection, defect detection, classification, and metrology applications.
This role requires strong technical expertise, creativity, and the ability to collaborate across engineering disciplines to bring algorithms from concept through production deployment and customer adoption.
Required Qualifications
The ideal candidate should possess a strong foundation in one or more of the following areas:

  • Image processing and image segmentation
  • Texture analysis and feature extraction
  • Statistical data analysis
  • Signal processing and filter design
  • Pattern recognition and classification
  • Machine learning and deep learning
  • Computer vision and AI-based inspection systems
    Programming Skills
    Required:
  • C/C++
  • MATLAB and/or Python
    Highly Desired:
  • CPU optimization (SIMD, SSE, AVX)
  • GPU programming (CUDA)
  • High-performance computing and algorithm acceleration

Responsibilities

  • Design, develop, and optimize algorithms for semiconductor inspection and metrology systems.
  • Drive the complete algorithm lifecycle, including:
    • Modeling and simulation
    • Proof-of-concept development
    • Software architecture and implementation
    • Performance characterization and validation
    • Documentation and product release support
  • Collaborate with cross-functional teams including software, systems, applications, product engineering, and hardware engineers to prototype, test, and deploy new capabilities.
  • Investigate and resolve complex algorithm, system, and production issues encountered in customer manufacturing environments.
  • Work closely with application engineers and customer-facing teams to troubleshoot field issues and develop innovative solutions within semiconductor fabs, including onsite support at TSMC when required.
  • Analyze large-scale production data to improve algorithm robustness, productivity, and defect detection performance.
  • Contribute to future technology roadmaps and drive innovation in AI-enabled inspection and metrology solutions.

Desired Attributes

  • Self-motivated and capable of working independently in a fast-paced environment.
  • Strong analytical and problem-solving skills with a proven track record of innovation.
  • Ability to effectively collaborate with globally distributed, multidisciplinary teams.
  • Excellent written and verbal communication skills.
  • Willingness to work directly with customers and support engineering activities in semiconductor manufacturing fabs.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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