KLA Senior Algorithm Engineer Image Processing & Computer Vision E 

United States, Michigan, Ann Arbor 

46397493

In this role, you’ll go beyondimplementation—you’llarchitect, optimize, and lead the development of advanced algorithms that push the boundaries of what’s possible in high-resolution imaging and real-time analysis. You’ll work closely with cross-functional teams to define technical direction, validate performance, and ensure seamless integration into production systems.

• Design and optimize cutting-edge algorithms for image processing, inverse problems, and computer vision
• Prototype in Python or MATLAB, and implement high-performance solutions in C++ on Linux
• Accelerate algorithm performance using CUDA/GPU programming
• Collaborate with systems, software, and hardware teams to translate complex requirements into scalable solutions
• Lead technical discussions, mentor junior engineers, and contribute to long-term algorithm strategy
• 5+ years of hands-on experience in image processing, computer vision, or machine learning in a production environment
• Deep expertise in spectral/spatial filtering, model-based methods, and inverse problem solving
• Strong proficiency in C++, with experience developing on Linux platforms
• Proven ability to prototype and validate algorithms in Python or MATLAB
• Familiarity with CUDA, TensorFlow, or other GPU-accelerated frameworks is a strong plus
• Experience architecting algorithms from the ground up and solving real-world vision challenges at scale

• Work on mission-critical technology that powers the semiconductor industry
• Be part of a high-caliber team where your expertise drives innovation
• Enjoy a hybrid work model with 3 days in the office and flexibility built in
• Grow your impact through technical leadership, cross-functional collaboration, and continuous learning

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

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