CV/ML/DL Algorithm Developer

Applied Materials; Santa Clara (CA); On-site; USD 161,000 - 221,000; Full time

Benefits offered by this job

Relocation assistance

Comprehensive benefits

Job summary

Applied Materials seeks a researcher to lead the design, development and deployment of algorithmic modules for semiconductor process control tools. You will assess classical and ML/DL computer vision approaches, gather data, review literature and evaluate feasibility within customer use cases.

You will prototype and benchmark approaches for defect detection, metrology, and image analysis, collaborating with compute infra, software, systems and product teams to deliver scalable solutions.

Qualifications

• Academic background in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
• Strong analytical and problem‑solving skills.
• Excellent communication and collaboration abilities.

Responsibilities

• Lead research, design, development and implementation of algorithmic modules.
• Evaluate CV and ML/DL algorithms for defect detection and image analysis on semiconductor tools.
• Prototype approaches, survey literature and assess feasibility for customer use cases.
• Collaborate with compute infra, SW, systems and productize new algo solutions.

Skills

Computer vision

Image processing

Deep learning

Programming (Python)

Education

Master's degree or PhD in CS/EE

Tools

TensorFlow

PyTorch

C/C++

Job description

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 classical, and ML/DL based computer vision algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraints.

• Evaluate computer vision and machine learning / deep learning algorithms for defect detection, defect classification, metrology, and image analysis on a semiconductor process control tool.
• Investigate, survey literature, and prototype algorithm approaches to solve complex problems by understanding the customer use cases.
• Collaborate with other functional teams such as compute infra, SW, systems and applications and productize new algo solutions that meet certain specifications.
• Benchmark, profile, and optimize algorithms to reduce computational cost and influence compute hardware requirements.

Qualifications

• Experience working in Semiconductor industry.
• Strong background in computer vision, image processing, and DL technology.
• Expertise in C/C++, Python and working experience with Tensor Flow, PyTorch or similar framework.
• Working knowledge with AI coding tools is desired.
• Academic background in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• New Ph.D. graduate or Master's (with 4+ years of experience) in computer science/electrical engineering or similar fields.

Additional Information

• Location: Santa Clara, CA
• Salary: $161,000.00 - $221,000.00 (target total cash)
• Time Type: Full time
• Employee Type: Assignee / Regular
• Travel: Yes, 10% of the Time
• Relocation Eligible: Yes
• Benefits: Comprehensive benefits program as detailed on our career website.

Equal Opportunity Employer

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.

Accessibility

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [e-mail], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor.