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:

Salary:
$184,000.00 - $253,000.00

Location:
Santa Clara,CA

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.

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 helps our customers - who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more - transform their ideas into reality.
Inside our company, we apply the idea of making it possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things, and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.

Position Overview We are seeking an experienced AI Algorithm Developer to join our Process Development team in Santa Clara, CA. In this role, you will design and implement cutting-edge machine learning solutions to accelerate learning cycles in the highly nonlinear and complex semiconductor capital equipment space. Success in this position requires creativity, innovation, and the ability to combine physical understanding, domain expertise, and experimental data to build predictive models that meet stringent on-wafer performance specifications for chip manufacturing.

• Key Responsibilities
• Develop and productize advanced deep learning and optimization algorithms for semiconductor equipment processing workflows.
• Collaborate with domain experts to identify high-value process challenges and translate them into well-defined data science problems with clear assumptions, objectives, and accuracy requirements.
• Apply advanced modeling and optimization techniques to extract actionable insights from sparse, noisy, and highly complex process spaces.
• Design and implement scalable, generalizable algorithms; define specifications for productization and deployment.
• Communicate complex analytical concepts and insights effectively to diverse audiences, including leadership and cross-functional teams.
• Partner with internal groups to analyze experimental data and deliver actionable intelligence.

Key Requirements:

Must-Have:

• Strong foundation in machine learning techniques, including deep learning, regression, classification, clustering, and Bayesian optimization.
• 5+ years of experience developing and deploying machine learning algorithms in scientific or engineering industrial processes.
• Proficiency in Python and familiarity with key analytics and ML libraries (Tensor Flow, Py Torch, Keras, Scikit-learn, Sci Py, Pandas, Num Py, CUDA).
• Solid understanding of semiconductor process development workflows.
• Strong grasp of software engineering principles, architectural patterns, and data structures.
• Creative and critical thinker with exceptional problem-solving skills.
• Excellent time management, organizational, communication, and collaboration abilities.

Preferred:

• Hands-on experience with GPU systems and optimizing AI model execution using CUDA.

• Familiarity with distributed cloud computing and parallelization.

• Experience with Agile methodologies and tools such as JIRA.

• 5+ years of experience in semiconductor process development.

• Education & Experience

• M.S. or Ph.D. in Engineering, Physics, Mathematics, Materials Science, Statistics, Computer Science, or a related field.

Additional Information:

Time Type: Full time

Employee Type: Assignee / Regular

Travel:Yes, 10% of the Time

Relocation Eligible:
Yes

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 Accommodations_Program@amat.com, 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.