Applied Materials Job OpportunityApplied 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.Salary: $184,000.00 - $253,000.00Location: Santa Clara, CAAt 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. We also empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.What You'll DoYou 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.Key ResponsibilitiesEvaluate 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.Optimize algorithms to reduce computational cost and influence hardware requirements.You Will Be A Great Fit If You HaveProven experience in the semiconductor industry.Strong background in computer vision, image processing, and deep learning technologies.Proficiency in C/C++, and Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or similar.GPU Programming like CUDA, and algorithm optimization and tuning skills are desired.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.Time Type: Full timeEmployee Type: Assignee / RegularTravel: Yes, 25% of the timeRelocation Eligible: YesThe 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.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.