Smart Metrology Engineer

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

Location:
Singapore,SGP

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.

• Conduct failure analysis (FA) to identify root causes, support corrective actions, and drive continuous improvement.
• Collaborate with cross‑functional stakeholders (manufacturing, quality, R&D, engineering) to understand, optimize, and scale metrology workflows.
• Lead and support the setup of a smart metrology / failure analysis lab, incorporating smart factory and Industry 4.0 concepts (digitalization, data connectivity, automation).
• Design and build simple tools, scripts, and dashboards to support lab operations, reporting, and decision‑making.
• Identify and establish automation for repetitive tasks, data collection, analysis, and workflow management.
• Support early exploration and proof‑of‑concepts for AI/ML use cases, including data readiness assessment and pilot implementation.
• Leverage data‑driven insights to guide technical decisions, prioritize improvements, and communicate findings to stakeholders.

• 0-4 years of Proficiency in programming and scripting for engineering or data workflows (e.g. Python, basic SQL, automation scripts).
• New College Graduates are welcome to apply
• Strong data processing and analysis skills, including data cleaning, visualization, and interpretation.
• Fundamental understanding of statistics for data analysis and process improvement.
• Familiarity with AI / ML fundamentals (e.g. basic models, use‑case identification, data requirements); hands‑on expertise is a plus but not mandatory.
• Hands‑on experience with prototyping, experimentation, or proof‑of‑concept development.
• Familiarity with Lean Manufacturing and Six Sigma principles, with the ability to apply structured problem‑solving methods.
• Strong stakeholder engagement skills, with the ability to work across functions.
• Structured, detail‑oriented approach, with the flexibility to handle undefined problems.
• Self‑driven, curious, and comfortable operating in early‑stage or exploratory environments.