Software/Algorithm Engineer

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.

As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

We are looking for a talented and motivated Software/Algorithm Engineer to join our team. In this role, you will develop and implement advanced image analysis algorithms applied to full wafer metrology data, enabling high-precision characterization and process control in semiconductor manufacturing.

- Design, develop, and validate image analysis algorithms for full wafer metrology data processing

- Analyze large-scale spatial metrology datasets to extract actionable process insights

- Collaborate with hardware and process engineers to define algorithm requirements and integrate solutions into measurement workflows

- Develop and maintain robust, well-tested software modules in a production engineering environment

- Benchmark algorithm performance and drive continuous improvements in accuracy, speed, and reliability

- Document technical approaches, results, and design decisions clearly

- MS+ in Physics, Optical Engineering, Electrical Engineering, Applied Mathematics, or a related field

- Strong foundation in optical physics

- Expertise in wave-optics modeling and physics-based simulation of optical measurement systems

- Strong foundation in image processing and computer vision algorithms

- High proficiency in one or more of the following: Python, MATLAB and C/C++

- Experience with scientific computing libraries

- Strong analytical and problem-solving skills

- Experience with semiconductor metrology, inspection, or process control data

- Familiarity with high-sensitivity camera models and their characteristics, including noise profiles, dynamic range, and readout modes

- Experience with machine learning or statistical modeling applied to engineering data

- Knowledge of data visualization tools and best practices

- Experience working in an iterative development environment

$152,000.00 - $208,500.00

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.

- Opportunity to work on cutting-edge metrology challenges in semiconductor manufacturing

- Collaborative, cross-functional team environment

- Competitive compensation and benefits

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.