Hiring.Camp

Sensor Engineer

Amat

·

3 days ago

Location
Singapore,SGP
Type
Full-time
Department
Engineering
Source
Workday

Description

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

Sensor Engineer – Wafer Fab Equipment

About the Role

We are seeking a Sensor Engineer to design, develop, and deploy advanced sensing solutions for semiconductor Wafer Fab Equipment. This role bridges deep technical sensor expertise with customer-facing application support, requiring both hands-on lab work and strategic technical leadership. The ideal candidate thrives on solving complex, high-value customer problems and driving new methodologies that improve system performance.

Role Responsibilities

  • Develop an in-depth understanding of customer technologies and critical gaps, and drive solutions through the full work cycle to implementation
  • Technically lead complex application activities and cross-functional teams
  • Create and lead new methodologies to optimize system performance for specific applications
  • Design and test sensors for Wafer Fab Equipment in a lab environment, adhering to all safety guidelines
  • Analyze, develop, document, and transfer new application capabilities within the system envelope, from the product division to the customer application support team
  • Lead internal and external customer technical review meetings
  • Select appropriate sensor protocols and data integration methodologies to solve high-value customer problems
  • Leverage AI and machine learning tools to accelerate sensor development, data analysis, anomaly detection, and predictive insights for customer applications

Qualifications

  • MS degree in Mechanical, Electrical, or Controls Engineering
  • 2–4 years of related experience in sensor design, integration, and testing
  • Fresh graduates are welcome to apply

Preferred Qualifications

  • Experience designing wire harnesses, engineering drawings, and design-for-manufacturing practices
  • Hands-on experience with data acquisition boards and communication protocols for data exchange over networks
  • Statistical analysis experience, including use of R, Python, or JMP
  • Exposure to Semiconductor Fab Equipment as a Systems or Equipment Engineer
  • Understanding of semiconductor fab equipment sensor operating environments (network, power feeding, information security)
  • In-depth knowledge of various industry-standard sensor protocols and network protocols
  • Familiarity with AI/ML tools and techniques (e.g., pattern recognition, predictive modeling) applied to sensor data and equipment diagnostics

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

No

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.

Skills

PythonMachine Learning

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