Senior Algorithm Developer

Who We Are

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.

What We Offer

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Youll 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 possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials we care about the health and wellbeing of our employees. Were 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. Learn more about our benefits.

Whats In It for You

Work with the best: Join a team of algorithm experts and researchers who are passionate about solving complex challenges in semiconductor inspection.

Innovate at scale: Contribute to the development of cutting-edge detection algorithms that power the next generation of optical wafer inspection tools

End-to-end impact: Be involved in the full lifecyclefrom concept and feasibility to implementation and integrationof algorithms that directly influence product performance

Shape the future: Your work will help enable the production of advanced microchips driving innovation across industries from AI to consumer electronics

Own your work: Drive projects independently from problem definition to production deployment with visibility across the organization.

Our Team

We are an algorithm research and development group composed of highly skilled developers who thrive on pushing technological boundaries. We focus on designing and implementing advanced detection classification and calibration algorithms for optical inspection systems used in semiconductor manufacturing. With a strong emphasis on innovation collaboration and technical excellence we turn complex challenges into impactful solutions that shape the future of chipmaking.

What Youll Do

• Drive end-to-end algorithm development projects independently from problem statement refinement to production deployment

• Develop and optimize 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

• Work with large-scale semiconductor inspection datasets including building data pipelines and curating domain-specific data for algorithm development

• Collaborate with cross-functional stakeholders including Field Marketing Product Applications Software and Systems teams to gather requirements and integrate algorithmic solutions

• Perform concept and feasibility studies algorithm validation and benchmarking on large datasets to demonstrate effective solution through data-driven approaches

• Write optimized production-quality code and work with software teams to integrate algorithms into the inspection tool

• Work with chip design data (GDSII OASIS) and understand system-level interactions involving optics and physics

• Perform system calibrations and address image processing challenges related to optical systems

• Travel to customer sites for solution demonstrations and issue resolution

• Present technical solutions to internal stakeholders and customers

What You Should Have

• Masters degree or Ph.D. in Computer Science Electrical Engineering Image/Signal Processing Computer Vision or related field from a premier engineering institute

• 7-15 years of experience in algorithm development for image processing and computer vision

• Strong mathematical foundation with expertise in applied mathematics for algorithm development

• Strong background in classical computer vision and image processing (filtering segmentation feature extraction pattern recognition anomaly detection image registration)

• Experience with deep learning approaches (CNNs object detection semantic segmentation) and frameworks such as PyTorch and TensorFlow

• Proven track record of combining classical and deep learning methods to deliver end-to-end solutions

• Proficient in Python programming with ability to write optimized production-quality code

• Experience with image processing libraries such as OpenCV scikit-image

• Experience working with domain-specific raw data and building data pipelines

• Strong experience in algorithm validation benchmarking and concept-feasibility methodologies

• Understanding of optical systems and physics fundamentals as they relate to image acquisition and processing

• Ability to work independently and drive projects from problem definition to production deployment

• Excellent analytical problem-solving and communication skills

• Strong stakeholder management skills with ability to influence and collaborate across functions

• Willingness to travel to customer sites (10%)

• Experience in semiconductor optical wafer inspection or industrial inspection domain

• Experience with chip design data formats (GDSII OASIS)

• Proficiency in C/C or Java

• Knowledge of GPU programming using CUDA or OpenCL

• Experience with MATLAB

• Experience writing production code and integrating algorithms into larger systems

• Customer-facing experience including technical presentations and demonstrations

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.