TieTalent
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. 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 global company. Visit our Careers website to learn more about careers at Applied.
What You'll Do
You will be responsible for leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility analyses for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraints.
Your Key Responsibilities Will Be
Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection.
Prototyping algorithm approaches to solve complex problems and drive integration of new algorithm solutions into product.
Algorithm optimization to reduce computational cost and influence hardware requirements.
You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with TensorFlow, PyTorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence Experience working in Semiconductor industry Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills Experience in managing teams, setting organizational priorities and allocating resources Ph.D. or Master's in computer science/engineering or similar fields with 5+ years of experience
Qualifications Education: Bachelor's Degree Skills Certifications: Languages: Years of Experience: 4 - 7 Years Work Experience: Additional Information Shift: 10-Day 8-Hr (United States of America) Travel: Yes, 10% of the Time Relocation Eligible: No U.S. Salary Range:
$161,000.00 - $221,000.00 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 committed to diversity in the workplace. All 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. Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology Industries: Technology, Information and Internet
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You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with TensorFlow, PyTorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence Experience working in Semiconductor industry Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills Experience in managing teams, setting organizational priorities and allocating resources Ph.D. or Master's in computer science/engineering or similar fields with 5+ years of experience
Qualifications Education: Bachelor's Degree Skills Certifications: Languages: Years of Experience: 4 - 7 Years Work Experience: Additional Information Shift: 10-Day 8-Hr (United States of America) Travel: Yes, 10% of the Time Relocation Eligible: No U.S. Salary Range:
$161,000.00 - $221,000.00 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 committed to diversity in the workplace. All 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. Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology Industries: Technology, Information and Internet
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr