Senior Engineer I, Product Intelligence

Communicate analytical findings and business impact effectively to technical and non-technical audiences. What we are looking for Bachelor’s degree or higher in Materials Science, Chemistry, Physics, Chemical Engineering, Electrical Engineering, or a related technical discipline. Experience in semiconductor process development or customer-facing technical support within the semiconductor industry. Hands-on experience with ALD, CVD, Epitaxy, or related semiconductor process technologies. Solid understanding of semiconductor manufacturing processes and technology fundamentals. Strong problem-solving and analytical skills with the ability to work on complex technical challenges. Excellent communication skills and ability to collaborate effectively across global and cross-functional teams. Ability to work effectively in secure, on-premises, or air-gapped environments. What sets you apart Experience applying statistical analysis, predictive modeling, machine learning, or AI to semiconductor process optimization. Proficiency in Python and familiarity with data science workflows and analytics tools. Knowledge of cloud-based data and analytics platforms. Experience developing and optimizing end-to-end process models, including model validation and experimental design. Understanding of Design of Experiments (DOE) methodologies. Experience delivering customer-facing technical demonstrations, training, or advanced technical support. Ability to translate complex technical findings into actionable recommendations for diverse stakeholders. Passion for leveraging data and advanced analytics to drive innovation in semiconductor manufacturing.