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AI Engineer; Computer Vision​/Signal Processing

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: KLA-Belgium
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 136000 - 232000 USD Yearly USD 136000.00 232000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (Computer Vision/Signal Processing)
Company Overview

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.

Group/Division

Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.

The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.

Job Description /Preferred Qualifications

KLA is seeking a motivated AI Engineer with a growth mindset to join a world-class algorithm group within the Reticle And Photomask Inspection Division (RAPID)! In this role, you will design and develop deep learning models blended with classical methods (e.g., physics-based modeling or signal processing) to advance KLA's innovative inspection platforms.

Key Responsibilities
  • Deep Learning & Computer Vision Design, train, and deploy deep learning models for image understanding tasks such as image translation, segmentation, anomaly detection, and defect analysis on inspection systems
  • Abstract specific tasks into generalized mathematical problems and devise customized models and algorithmic solutions
  • Curate and manage datasets; establish rigorous training, validation, and evaluation pipelines
  • Innovation and Execution Drive innovation by proposing novel approaches and delivering production-quality, maintainable code
  • Identify technical bottlenecks and balance model sophistication against computational complexity through comprehensive data analysis
  • Improve model accuracy; optimize models for inference throughput, including GPU-accelerated and high-performance computing
Cross-functional Collaboration

Collaborate directly with other teams to co-optimize algorithms along with other sub-systems for best overall system design Work with field teams and customers to support model deployments and ensure seamless integration of AI solutions to inspection systems at customer sites, including occasional international travel

Qualifications & Attributes

REQUIRED:

relevant publications must be listed on resume

  • PhD (New College Graduate OR preference of 1-2 yrs of experience) in Applied Mathematics, Computer Science, Electrical Engineering, or a related field
  • Significant experience in deep…
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