Algorithm Developer IV-(E4)
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,TWN
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.
Who We Are
Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.
What We Offer
At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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.
You'll also 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 about careers at Applied.
What You'll Do
You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.
Your key responsibilities will be
- Evaluate and develop algorithms in computer vision and machine learning/deep learning for defect detection, defect classification, metrology, and image analysis.
- Prototype innovative algorithmic approaches to address complex problems by thoroughly understanding customer use cases.
- Collaborate with cross-functional teams (software, systems, and applications) to productize new algorithm solutions that meet defined specifications.
- Partner with field application engineers to resolve algorithm-related escalations, troubleshoot or implement fixes onsite, and serve as the technical expert for customer communications.
You will be a great fit if you have
- Proven experience in the semiconductor industry.
- Strong background in computer vision, image processing, and deep learning technologies.
- Proficiency in C/C++, Python, and MATLAB, with hands-on experience using frameworks such as TensorFlow, PyTorch, or similar.
- Working knowledge of AI-assisted coding tools is a plus.
- Solid academic foundation in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
- Excellent analytical, problem-solving, and organizational skills, combined with strong interpersonal and communication abilities.
- Ph.D. in Computer Science, Electrical Engineering, or related fields with 4+ years of experience, or Master's degree with 7+ years of experience.
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 25% of the Time
Relocation Eligible:
Yes
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.
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Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA With Employer Contribution
- Health Reimbursement Account
- FSA
- HSA
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Fertility Benefits
- Adoption Leave
- Non-Birth Parent or Paternity Leave
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Work-From-Home Stipend
Office Life and Perks
- On-Site Cafeteria
- Commuter Benefits Program
- Casual Dress
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Unlimited Paid Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- 401(K)
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Internship Program
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Shadowing Opportunities
Diversity and Inclusion