Manager, Algorithms Engineering

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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You’ll 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. Visit our Careers website to learn more. 

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

About Applied Materials

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Our Team

You will join a global organization building advanced X-ray inspection and metrology platforms for semiconductor manufacturing. The team develops end-to-end computational solutions spanning imaging pipelines, data acquisition, 3D reconstruction, feature analysis, and production tool integration.

Position Summary

As an Algorithms Development Manager, you will lead the development of a high-impact India-based team focused on next-generation XCT inline inspection algorithms. This role combines technical leadership, people management, and architectural ownership.

Key Responsibilities

• Lead algorithmic development in AI/ML, computer vision, and image processing

• Own architecture for XCT/APX algorithm subsystems

• Drive 3D reconstruction, feature detection, defect analysis, and metrology

• Transition research into production-ready software

• Collaborate across hardware, systems, and global software teams

• Build and mentor a high-performing India-based team

Education & Experience

• Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field

• 10-15 years of relevant experience in algorithm development

• Experience leading software/algorithm teams

Required Skills

• Strong background in computer vision, image processing, and AI/ML

• Experience with imaging, inspection, or reconstruction algorithms

• Programming expertise in Python and C++/C#/equivalent

• Strong mathematical foundation (linear algebra, optimization)

• Experience in productionizing algorithms

• Performance optimization (multithreading/GPU)

Preferred Qualifications

• Semiconductor inspection or metrology experience

• Knowledge of X-ray/CT/tomography systems

• Experience in 3D reconstruction and volumetric analysis

• Familiarity with AI/ML deployment workflows

Equal Opportunity Statement

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.

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.