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Strong employer brand, metro location, mid-level ML role, and common title increase candidate competition.
Semiconductor metrology and computer-vision specialization make background transferability limited across industries.
Requires PhD/Master's, 5+ years, and mandatory ML/CUDA/C++ expertise, so screening is strict.
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Lead research, design, development, and implementation of algorithmic modules focused on image processing and computer vision.
Prototype and optimize image analysis algorithms including computer vision, deep learning, and machine learning to reduce computational cost and adapt to hardware constraints.
Drive integration of new algorithm solutions into products, leveraging expertise in GPU programming and machine learning frameworks such as TensorFlow and PyTorch.
5-10 years of experience in computer vision, image processing, or machine learning algorithm development.
Master’s or Ph.D. degree in Computer Science, Engineering, or related fields with research background in Image/Signal Processing, Computer Vision, Deep Learning.
Proficient in C/C++, Python, MATLAB, and experienced with ML frameworks like TensorFlow or PyTorch.
Experience in semiconductor industry and GPU programming using CUDA or OpenCL is mandatory.
Demonstrated ability to manage teams and allocate organizational resources effectively in R&D settings.
Strong analytical and problem-solving skills with experience driving algorithmic innovation in semiconductor product development.
Operates at senior individual contributor or team lead level interfacing between research and product integration environments.