Algorithm Developer

Develop and productize advanced deep learning and optimization algorithms for semiconductor equipment processing workflows. Collaborate with domain experts to identify high-value process challenges and translate them into well-defined data science problems with clear assumptions, objectives, and accuracy requirements. Apply advanced modeling and optimization techniques to extract actionable insights from sparse, noisy, and highly complex process spaces. Design and implement scalable, generalizable algorithms; define specifications for productization and deployment. Communicate complex analytical concepts and insights effectively to diverse audiences, including leadership and cross-functional teams. Partner with internal groups to analyze experimental data and deliver actionable intelligence. Strong foundation in machine learning techniques, including deep learning, regression, classification, clustering, and Bayesian optimization. 5+ years of experience developing and deploying machine learning algorithms in scientific or engineering industrial processes. Proficiency in Python and familiarity with key analytics and ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn, SciPy, Pandas, NumPy, CUDA). Solid understanding of semiconductor process development workflows. Strong grasp of software engineering principles, architectural patterns, and data structures. Creative and critical thinker with exceptional problem-solving skills. Excellent time management, organizational, communication, and collaboration abilities. Hands-on experience with GPU systems and optimizing AI model execution using CUDA. Familiarity with distributed cloud computing and parallelization. Experience with Agile methodologies and tools such as JIRA. 5+ years of experience in semiconductor process development. M.S. or Ph.D. in Engineering, Physics, Mathematics, Materials Science, Statistics, Computer Science, or a related field.