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You will be updated with latest job alerts via emailWho 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 ofscience and engineering to make possiblethe next generations of technology join us to Make Possible a Better Future.
What We Offer
Location:
BangaloreIND ChennaiINDAt 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. Were 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.
Youll 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 empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.
About Applied
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials our innovations make possible the technology shaping the future.
WhatYoullDo
You will be responsible leading research design development and implementation ofalgorithmic 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
Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis pattern recognition metrology and object detection.
Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product.
Algorithm optimization to reduce computational cost and influence hardware requirements.
Experience with machine learning frameworks such as TensorFlow PyTorch or Keras especially in the context of image analysis.
Knowledge of GPU programming using CUDA or OpenCL.
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 Tensor Flow 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 sets organizational priorities and allocates resources.
Ph.D. or Masters in computer science/engineering or similar fields with 5 years of experience
Masters / Research background- Qualification preferred Image/ Signal Processing Computer Vison Deep Learning
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities Females Protected Veterans and Individuals with Disabilities.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesApplied 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.
Full-Time