Applied Materials
Algorithm Developer II - New College Grad - Masters - Santa Clara - CA
- Location
- Santa Clara, CA
- Type
- USA new grad
Applied Materials
From Applied Materials’s careers page.
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
Salary:
$131,000.00 - $180,000.00
Location:
Santa Clara,CA
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.
What You'll Do
As an Algorithm Developer Engineer E2, you will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications. Working closely with experienced engineers and researchers, you will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across Applied Materials' semiconductor inspection and metrology products.
Key Responsibilities
Minimum Qualifications
Preferred Qualifications
Additional Skills
Qualifications
Education: Master's Degree or Ph.D.
Years of Experience: 0-2 Years
Work Experience: New College Graduate
Additional Information
Travel: Up to 10%
Relocation Eligible: Yes
Hiring Profile Summary
This position targets high-potential Master's and Ph.D. graduates with strong foundations in computer vision, image processing, signal processing, and machine learning. The role focuses on the research, development, validation, optimization, and deployment of algorithms for semiconductor wafer inspection and metrology applications while providing opportunities to work closely with multidisciplinary engineering teams to solve challenging real-world manufacturing problems.
Full time
New College Grad
Not Specified
Yes
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
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.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.