Image Processing Algorithm Engineer — Hybrid & High-Impact CV

KLA-Belgium; Ann Arbor (MI); Hybrid; USD 105,900 - 180,000; Full time

Job summary

KLA in Michigan is seeking an Image Processing Algorithm Engineer to develop innovative image‑processing and computer‑vision algorithms for next‑generation semiconductor photomask inspection products. You will prototype and validate algorithms in MATLAB or Python, then translate successful solutions into production‑quality C++ on Linux.

You will collaborate with cross‑functional teams, improve defect detection performance, and contribute from concept through productization and support.

Qualifications

• 1–4 years of image‑processing development experience.
• Prototyping in MATLAB or Python; translating to production‑quality C++ on Linux.
• Strong understanding of conventional image‑processing research.
• Hands‑on CV challenges in an industry setting with GPU or CUDA is a plus.

Responsibilities

• Design, develop, and optimize image processing and computer vision algorithms.
• Research and evaluate new approaches in image processing, signal processing, CV, and ML.
• Prototype in MATLAB or Python; translate into production‑quality C++ on Linux.
• Collaborate with cross‑functional teams to deliver robust customer‑facing capabilities.
• Analyze complex image data, identify bottlenecks, and improve defect detection accuracy and throughput.
• Leverage parallel and GPU‑accelerated computing for high‑performance solutions.

Skills

Image processing

Computer vision

CUDA/GPU

MATLAB/Python

Education

Bachelor’s degree

Master’s degree

PhD

Tools

MATLAB

Python

C++

Linux

CUDA

Job description

KLA in Michigan is seeking an Image Processing Algorithm Engineer to develop innovative image‑processing and computer‑vision algorithms for next‑generation semiconductor photomask inspection products. You will prototype and validate algorithms in MATLAB or Python, then translate successful solutions into production‑quality C++ on Linux.

You will collaborate with cross‑functional teams, improve defect detection performance, and contribute from concept through productization and support.