Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

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. 

Who We Are

Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

What We Offer

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 whole 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. Learn more about our benefits. 

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. Visit our Careers website to learn more about careers at Applied.

What You’ll Do 

You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for classical, and ML/DL based computer vision algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraints.

Your key responsibilities will be

• Evaluate and develop computer vision and machine learning / deep learning algorithms for defect detection, defect classification, metrology, and image analysis on a semiconductor process control tool.

• Investigate, survey literature, and prototype algorithm approaches to solve complex problems by understanding the customer use cases.

• Collaborate with other functional teams such as compute infra, SW, systems and applications and productize new algo solutions that meet certain specifications.

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

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

• Optimize algorithm performance by efficiently using the compute resources.

You will be a great fit if you have

• Experience working in Semiconductor industry.

• Strong background in computer vision, image processing, and DL technology

• Expertise in C/C++, Python and working experience with Tensor Flow, PyTorch or similar framework

• Knowledge of GPU programming using CUDA or OpenCL

• Working knowledge with AI coding tools is desired.

• Academic background in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.

• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.

• New Ph.D. graduate or Master's (with 4+ years of experiences) in computer science/electrical engineering or similar fields.

Additional Information

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The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

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.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.