Algorithm Developer

Applied Materials•Santa Clara, CA

4d•$184,000 - $253,000•Onsite

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your key responsibilities will be Drive end-to-end algorithm development projects independently, from problem statement refinement to production deployment Prototype innovative algorithmic approaches to address complex problems by thoroughly understanding customer use cases. Collaborate with cross-functional teams (software, systems, and applications) to productize new algorithm solutions that meet defined specifications. Evaluate and Develop image processing algorithms for defect detection, pattern recognition, anomaly detection, classification, and image registration on optical wafer inspection data Design and implement solutions that effectively combine classical mathematical algorithms with deep learning approaches to solve complex inspection challenges Optimize algorithms to reduce computational cost and influence hardware requirements.

Requirements

Proven experience in the semiconductor industry.
Strong background in computer vision, image processing, and deep learning technologies.
Proficiency in C/C++, and Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or similar to write production quality code
Experience with chip design data formats (GDSII, OASIS)
Solid academic foundation in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
Excellent analytical, problem-solving, and organizational skills, combined with strong interpersonal and communication abilities.
Ph.D. in Computer Science, Electrical Engineering, or related fields with 4+ years of experience, or Master’s degree with 7+ years of experience.

Nice To Haves

GPU Programming like CUDA, and algorithm optimization and tuning skills are desired.
Working knowledge of AI-assisted coding tools is a plus.

Responsibilities

Drive end-to-end algorithm development projects independently, from problem statement refinement to production deployment
Prototype innovative algorithmic approaches to address complex problems by thoroughly understanding customer use cases.
Collaborate with cross-functional teams (software, systems, and applications) to productize new algorithm solutions that meet defined specifications.
Evaluate and Develop image processing algorithms for defect detection, pattern recognition, anomaly detection, classification, and image registration on optical wafer inspection data
Design and implement solutions that effectively combine classical mathematical algorithms with deep learning approaches to solve complex inspection challenges
Optimize algorithms to reduce computational cost and influence hardware requirements.