- Location
- Chennai,IND, India · Bangalore,IND
- Type
- Full-time
- Department
- IT
- Experience
- 5+ years
- Education
- PhD
- Source
- Workday
Description
Who We Are
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.
What We Offer
Location:
Bangalore,IND, Chennai,INDYou’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.
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.
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 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 Master’s in computer science/engineering or similar fields with 5+ years of experience
Education:
Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning
Years of Experience:
5- 10 YearsApplied 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.
