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Applied Materials

Process Integration Engineer

Posted 7 Hours Ago
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In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
The Process Integration Engineer will enable advanced optical device technologies’ transition from R&D to manufacturing, optimize process flows, troubleshoot integration issues, and provide support and guidance to teams.
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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

We are seeking a highly skilled and experienced Process Integration Engineer to join our Photonics Platform Business Group. In this role, you will enable the transition of advanced optical device technologies from R&D into scalable manufacturing. You will work closely with cross-functional engineering teams to define, develop, and optimize process flows for cutting-edge semiconductor and photonics devices.

Key Responsibilities:

  • Drive end-to-end process integration for advanced semiconductor device fabrication.
  • Define and optimize process flows to achieve performance, yield, and reliability targets.
  • Collaborate with module owners (lithography, etch, deposition, metrology, etc.) to align process development with integration requirements.
  • Conduct design-of-experiments (DOE) to identify process sensitivities and improve manufacturability.
  • Analyze optical test data to provide feedback for process tuning and device improvement.
  • Collaborate with design, process, and operations teams to ensure smooth technology transfer into volume manufacturing.
  • Troubleshoot integration issues and drive root-cause analysis for process-related failures.
  • Support technology roadmaps by contributing to process integration strategy and scalability.
  • Collaborate with cross-functional teams to define and implement process integration methodologies and continuous improvement initiatives.
  • Stay updated with the latest advancements and industry trends in process integration to drive innovation.
  • Provide technical guidance and support to junior engineers and technicians, fostering a collaborative and knowledge-sharing work environment.

Qualifications:

  • Master's degree or PhD in Electrical Engineering, Chemical Engineering, Materials Science, or a related field. A Ph.D. in a relevant field is preferred.
  • Work experience of at least 5 years. Proven experience (>3 years) in process integration, preferably R&D within a high-volume manufacturing environment.
  • Strong understanding of nanotechnology processes, including lithography, etch, deposition, CMP and metrology.
  • Proficient in statistical data analysis and process optimization and control techniques (e.g., Design of Experiments, SPC, JMP).
  • Ability to read and understand layout files (industry-standard such as GDS and OASIS) and familiarity optical proximity correction (OPC) methodologies is a plus.
  • Knowledge of optics principles and photonic components and systems is desirable.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Detail-oriented and organized, with the ability to manage multiple projects and priorities simultaneously.
  • Knowledge of industry standards and best practices in semiconductor manufacturing, such as ISO, SEMI, and ITAR regulations, and Project management skills are a plus.

Functional Knowledge

  • Regarded as the technical expert in their particular field
  • Demonstrates in-depth and/or breadth of expertise in own discipline and broad knowledge of other disciplines within the function

Business Expertise

  • Anticipates business and regulatory issues; recommends product, process or service improvements 

Leadership

  • Leads projects with notable risk and complexity; develops the strategy for project execution

Problem Solving

  • Solves unique and complex problems with broad impact on the business; requires conceptual and innovative thinking to develop solutions

Impact

  • Impacts the direction and resource allocation for program, project or services; works within general functional policies and industry guidelines

Interpersonal Skills

  • Communicates complex ideas, anticipates potential objections and persuades others, often at senior levels, to adopt a different point of view

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 50% 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.

Top Skills

Chemical Engineering
Cmp
Deposition
Design Of Experiments
Electrical Engineering
Etch
Jmp
Lithography
Materials Science
Metrology
Nanotechnology Processes
Statistical Data Analysis

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