Algorithm Developer III - (E3)

Applied MaterialsSanta Clara, CA
$161,000 - $221,000Onsite

About The Position

Applied Materials is a global leader in materials science and engineering solutions, crucial for semiconductor chips and advanced displays. The equipment we create and service is essential for advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us to push the boundaries of materials science and engineering in a company at the foundation of the electronics industry, where the work done advances the world's technology.

Requirements

  • Strong background in computer vision, image processing, and DL technology.
  • Experience in GPU programming, CUDA, parallel computing, or HPC architectures.
  • Expertise in Modern C++, Python, MATLAB and working experience with Tensor Flow, PyTorch, or similar frameworks.
  • Experience in using AI coding tools.
  • Academic background in Optics/imaging, Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
  • Experience working in the Semiconductor industry.
  • Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
  • Experience in managing teams or projects, setting organizational priorities, and allocating resources.
  • Ph.D. or Master’s in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, Physics, or similar fields with 5+ years of experience.

Responsibilities

  • Leading research, design, development, and implementation of algorithmic modules.
  • Performing algorithmic concept and feasibility studies for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation, and implementation constraints.
  • Demonstrating understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection.
  • Prototyping algorithmic approaches to solve complex problems and driving integration of new algorithm solutions into products.
  • Optimizing algorithms to reduce computational cost and influence hardware requirements.

Benefits

  • Supportive work culture that encourages learning, development, and career growth.
  • Programs and support for personal and professional growth.
  • Comprehensive benefits package.
  • Eligibility for other forms of compensation such as participation in a bonus and a stock award program.
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