Algorithm Engineer - Deep Learning (E)

Role

KLA is seeking Deep Learning Algorithm Engineers to pioneer deep learning, foundation models, and GenAI for image processing and computer vision applications in semiconductor process control. Engineers will work across the full DL project lifecycle from concept and prototyping to training, evaluation, optimization, and deployment.

Key Responsibilities

• Understand state-of-the-art deep learning and GenAI models and connect them to domain problem statements.
• Analyze modeling requirements based on product feature needs and design appropriate DL/GenAI solutions.
• Implement modeling prototypes, train and tune models on domain datasets, and perform model analysis.
• Evaluate and validate model performance against defined metrics and perform A/B testing on real data.
• Diagnose model performance bottlenecks and design new DL modules or components to improve results.
• Optimize model throughput and/or cost, including reduced-precision optimizations.
• Work and communicate collaboratively with peers and present technical ideas and results.

Qualifications (Minimum)

• Doctorate degree (Ph.D.) in Electrical Engineering, Computer Science, or related quantitative field with 0 years experience; or Master’s degree with 3 years of related work experience.
• Academic or industrial experience applying deep learning or GenAI to real-world problems with demonstrable impact.
• Demonstrated deep learning expertise via technical publications in top conferences and/or industrial patents and/or impactful open-source projects.
• Proficiency in Python and at least one additional language from C++, Java, Rust, or Go.
• Proficiency in at least one deep learning framework such as PyTorch, TensorFlow, or JAX.
• Willingness to travel up to 10%.

Preferred / Desired

• Ph.D. preferred (if not already listed under minimum qualification path).
• In-depth experience in object detection, segmentation, vision foundation models (VFM), vision-language models (VLM), multimodal models, or related areas (computer vision, image processing, robotics, NLP).
• Experience with GenAI coding tools and vibe coding/vibe engineering.
• Experience with DL model optimization for reduced precision (e.g., FP8, FP4).
• Experience with VFM pretraining or post-training and experience in semiconductor process control is a plus.

Location & Travel

• Primary location: Milpitas, CA, USA.
• Travel: up to 10%.

Compensation & Benefits

• Base pay range: $136,300.00 - $231,700.00 (primary location shown).
• Benefits may include medical, dental, vision, life, voluntary benefits, 401(K) with company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement, development and career programs, financial planning, wellness benefits including an employee assistance program (EAP), paid time off, paid company holidays, and family care and bonding leave.

Notes

• The posting is for building a talent community and future opportunities; no immediate opening may be available.