Algorithm Developer

Applied Materials•Santa Clara, CA

8d•$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. At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your entire family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.

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.
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

Leading research, design, development and implementation of algorithmic modules.
Perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.
Evaluate and develop algorithms in computer vision and machine learning/deep learning for defect detection, defect classification, metrology, and image analysis.
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.
Optimize algorithms to reduce computational cost and influence hardware requirements.