Algorithm Developer II - New College Grad (Masters - Santa Clara, CA)
Applied Materials1 day ago
Base Salary
$131k - $180k/yr
Responsibilities
- Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology.
- Conduct benchmarking and validation studies covering algorithm accuracy, robustness, computational efficiency, and overall performance.
- Implement, optimize, and maintain production-quality algorithmic software in Python and C++.
- 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.
Requirements
- Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, specializing in computer vision, image processing, signal processing, machine learning, or a related area.
- Graduate-level coursework and hands-on project experience in computer vision, image registration, image segmentation, camera calibration, multi-view geometry, and related image analysis techniques.
- Proficiency in Python and/or C++ gained through research, coursework, internships, or academic projects.
- Experience applying mathematical and statistical methods to engineering problems is preferred.
- Experience with image-based deep learning for computer vision applications is preferred.
- Experience using AI-assisted coding tools for development, prototyping, and debugging is preferred.
- Publications in peer-reviewed venues such as CVPR, ICCV, ECCV, ICIP, or similar conferences and journals are preferred.
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow is preferred.
Benefits
- Full-time employee position with a comprehensive benefits package and potential eligibility for bonus and stock award programs.
- Supportive learning and career-development culture.
- Santa Clara, California location with relocation eligibility.
- Up to 10% travel.
- Master's and Ph.D. new-college-graduate opportunity.
Categories
About Applied Materials
Applied Materials builds semiconductor and display manufacturing equipment and related materials engineering technologies used by chip and flat-panel makers. It sells capital tools, process technology, and lifecycle services and software to support high-volume wafer fabrication and display production worldwide. Founded in 1967 and headquartered in Santa Clara, California, the company is publicly traded on NASDAQ under the ticker AMAT.