What We Offer
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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 classical, and ML/DL based computer vision algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraints.
Your key responsibilities will be
Evaluate and develop computer vision and machine learning / deep learning algorithms for defect detection, defect classification, metrology, and image analysis on a semiconductor process control tool.
Investigate, survey literature, and prototype algorithm approaches to solve complex problems by understanding the customer use cases.
Collaborate with other functional teams such as compute infra, SW, systems and applications and productize new algo solutions that meet certain specifications.
Perform concept and feasibility studies, algorithm validation, and benchmarking on large datasets to demonstrate effective solution through data-driven approaches
Write and maintain optimized, production-quality code and work with software teams to integrate algorithms into the inspection tool
Optimize algorithm performance by efficiently using the compute resources.
You will be a great fit if you have
Experience working in Semiconductor industry.
Strong background in computer vision, image processing, and DL technology
Expertise in C/C++, Python and working experience with Tensor Flow, PyTorch or similar framework
Knowledge of GPU programming using CUDA or OpenCL
Working knowledge with AI coding tools is desired.
Academic background in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
New Ph.D. graduate or Master's (with 4+ years of experiences) in computer science/electrical engineering or similar fields.
Additional Information
Time Type
Full time
Employee Type
Assignee / Regular
Travel
Yes, 10% of the Time
Relocation Eligible
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.
