The Deep Learning Algorithm Engineer role at KLA focuses on pioneering deep learning and GenAI technologies for image processing and computer vision applications in the semiconductor process control business. The position is part of the Broadband Plasma Division, which develops advanced optical inspection systems for IC manufacturing. Candidates will work independently throughout the deep learning project lifecycle, contributing to innovative solutions that enhance product performance. This is an exciting opportunity to engage with cutting-edge technology in a dynamic environment.

• Ph.D. in Electrical Engineering, Computer Science, or related quantitative fields.
• Academic or industrial experience applying deep learning or GenAI to real-world problems with impactful results.
• In-depth experience applying deep learning or Vision Foundation Models in areas such as computer vision, image processing, or robotics.
• Proficiency in Python and one additional programming language such as C++, Java, Rust, or Go.
• Demonstrated deep learning expertise via technical publications in top conferences or industrial patents.

• Understand state-of-the-art deep learning and GenAI models.
• Connect SOTA DL modeling approaches to domain problem statements.
• Analyze modeling requirements based on product feature requirements.
• Design deep learning and GenAI models to meet modeling requirements.
• Implement modeling prototypes and perform analysis.
• Perform model training and/or tuning on domain datasets.
• Evaluate and validate model performance against defined metrics.
• Analyze model performance bottlenecks.
• Design new DL modules or components to improve performance.
• Optimize DL or GenAI model throughput and cost.
• Perform A/B testing between models on real data.
• Work and communicate collaboratively with peers.
• Present ideas, concepts, and results in professional technical settings.

• Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.