Test Engineer III – Chamber Analytics & Matching

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.

Salary: $96,000.00 – $

Location:

Austin, TX

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.

Austin, TX with travel to Santa Clara and Singapore.

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.

As a Manufacturing Engineer, you are responsible for developing and maintaining methods, operating sequences, and processes in the fabrication of parts, components, subassemblies, and final assemblies. You'll work closely with other engineering functions to coordinate the release of product improvements and new products, and you'll use engineering principles to estimate and reduce manufacturing costs, improve product quality, determine time standards, and make recommendations for tooling and process requirements.

Your expertise in lean principles, automation, and continuous improvement will be instrumental in driving operational excellence and achieving higher levels of productivity and cost‑effectiveness. You'll develop and use test procedures, evaluate test results, and assess work methods, procedures, and policies to identify root‑cause issues and solutions that ensure operational success.

The Test Engineer for Chamber Analytics & Matching will be responsible for developing, deploying, and sustaining advanced chamber trace analytics capabilities to improve manufacturing cycle time and quality, chamber matching, data analytics for troubleshooting customer production performance issues. This role sits at the intersection of Manufacturing Engineering, System Engineering, Design Engineering, and Global Product Support.

The Test Engineer will work closely with Manufacturing Engineering, Systems/Design Engineering, GPS, AIx, and suppliers to identify high‑value chamber traces, segment process data, establish control limits, and enable automated analytics and dashboards. This role is critical to ensuring chamber ship quality, supporting rapid root cause analysis, and enabling long‑term analytics ownership within Manufacturing Test teams.

• Partner with Manufacturing Engineering, Test Engineering, Systems/Design Engineering, and GPS teams to identify, prioritize, and define high‑value chamber traces for analytics and chamber matching.
• Analyze raw chamber trace data and segment it into meaningful process phases (e.g., pump‑down, rotation, extraction, stabilization) for evaluation and modeling.
• Collaborate with the Manufacturing Engineers and leverage chamber analytics to reduce test cycle time while also increasing chamber quality.
• Develop, validate, and maintain guard‑banding strategies, control limits, and matching criteria to support chamber ship quality and manufacturing consistency.
• Support pilot deployments of chamber analytics starting with ALD, MDP, and Etch chambers.
• Collaborate with AIx and data platform teams to enable data pipelines, analytics workflows, dashboards, SPC pushes, and alerting mechanisms.
• Support chamber performance investigations, cross‑chamber comparisons, and customer or field‑driven escalations by providing data‑driven insights.
• Document analytics methods, assumptions, and…