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:
Hsinchu,TWNYou’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.
Job Description
Key Responsibilities
- Engage in customer facing activities (SoW / H2H) to understand algorithmic limitations and deliver corresponding solutions with HQ timely
- Work closely with HQ to develop new features in the fields of Computer Vision, Machine Learning and Deep Learning
- Improve existing features for better sensitivity and stability
- Evaluate new algorithms with regularity at customer sites to ensure seamless transfer of key features from Lab to Fab (up to 70% of the work)
- Provide technical support for urgent escalations and collaborate with applications, system, physics, software teams to deliver solutions
- Algorithm integration in large systems considering HW and SW aspects
Qualifications
- MSc or Ph.D. in Electronic Engineering / Computer Science, with 5+ years in Semiconductor industrial as Algorithm developer
- Strong theoretical foundation and hands-on experience in Computer Vision and Deep Learning – must
- Hands-on experience in Python – must
- Comfortable working on Linux servers, command line, Git – must
- Knowledge of Layout (GDS, OASIS) processing – plus
- Availability to travel abroad 5~10% of the year
- Good communicator with moderate English skills
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
NoApplied 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 Required
- MSc or Ph.D. in Electronic Engineering or Computer Science with 5+ years in semiconductor industry as an algorithm developer
- Strong theoretical foundation and hands-on experience in Computer Vision and Deep Learning
- Hands-on experience in Python
- Comfortable working on Linux servers, command line, Git
- Knowledge of layout processing (GDS, OASIS)
- Availability to travel abroad 5-10% annually
- Good communicator with moderate English skills
Applied Materials Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.
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Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
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Leave & Time Off Breadth — Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
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Equity Value & Accessibility — An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.
Applied Materials Insights
What We Do
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.
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