Algorithm Developer

lysis, 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 Years

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Qualifications

Education:

Master's Degree (Required)

Skills

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Shift:

Day (India)

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Referral Payment Plan:

Employee Referral (Standard)

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.