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

Salary:

Location:

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. 

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 image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.

Your key responsibilities will be

• Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection.

• Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product.

• Algorithm optimization to reduce computational cost and influence hardware requirements.

You will be a great fit if you have

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

• Experience in GPU programing, CUDA, parallel computing, or HPC architectures

• Expertise in Modern C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework

• Experience in using AI coding tools

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

• Experience working in Semiconductor industry.

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

• Experience in managing teams or projects, sets organizational priorities and allocates resources.

• Ph.D. or Master’s in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, Physics, or similar fields with 5+ years of experience

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

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.