Algorithm Developer E2

Role

Algorithm Developer E2(24062-1)

Duration

6-12+ Months Contract

Location – Santa Clara, CA (5 Days Onsite)

Must Have Skills

Skill 1 – Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications.

Skill 2 – Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance

Skill 3 – Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas.

Good To have Skills –

Skill 1 – Experience applying mathematical and statistical methods to formulate and solve engineering problems

Domain Experience (If any) – Algorithm Developer Engineer

Algorithm Developer Engineer E2 (New College Graduate)

Who We Are

The client 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 enables our customers to manufacture semiconductor devices and displays that power today's connected world.

What You'll Do

As an Algorithm Developer Engineer E2, you will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications. Working closely with experienced engineers and researchers, you will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across Applied Materials' semiconductor inspection and metrology products.

Key Responsibilities

• Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications.
• Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance.
• Implement, optimize, and maintain product-quality algorithmic software in Python and C++ for production and deployment.
• Collaborate with software, systems, applications, and compute infrastructure teams to integrate algorithms into production products.
• Document technical findings and communicate results through reports, presentations, and design reviews.

Minimum Qualifications

• Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas.
• Graduate-level coursework in classical and modern computer vision, along with hands-on project work in image registration, image segmentation, camera calibration, multi-view geometry, and related image analysis techniques.
• Proficient in Python and/or C++ through research, coursework, internships, or academic projects.

Preferred Qualifications

• Experience applying mathematical and statistical methods to formulate and solve engineering problems.
• Experience with image-based deep learning methods for computer vision applications.
• Experience using AI-assisted coding tools for software development, prototyping, and debugging.
• Publications in leading peer-reviewed conferences or journals (e.g., CVPR, ICCV, ECCV, ICIP, or similar venues).

Additional Skills

• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or equivalent tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, cross-functional engineering environment.

Qualifications

Education

Master's Degree or Ph.D.

Years of Experience

0-2 Years

Work Experience

New College Graduate

Additional Information

Travel

Up to 10%

Relocation Eligible

Yes

Hiring Profile Summary

This position targets high-potential Master's and Ph.D. graduates with strong foundations in computer vision, image processing, signal processing, and machine learning. The role focuses on the research, development, validation, optimization, and deployment of algorithms for semiconductor wafer inspection and metrology applications while providing opportunities to work closely with multidisciplinary engineering teams to solve challenging real-world manufacturing problems.