Principal​/ML​/AI Engineer, Product Engineering, STPG; Evergreen

Join the Product Engineering team to develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions that transform semiconductor manufacturing and engineering workflows. This role is responsible for building predictive analytics models, developing agentic AI solutions, enabling intelligent automation, and driving data-driven decision-making to improve yield, quality, cycle time, reliability, and cost efficiency.

The successful candidate will leverage advanced machine learning techniques, large-scale semiconductor datasets, and AI technologies to solve complex engineering challenges. In addition, this role will mentor and enable Citizen Data Scientists (CDS) by providing technical guidance, training, and best practices in machine learning, analytics, and AI adoption. Strong technical expertise, innovation, collaboration, and communication skills are essential for success.

Develop, validate, and deploy machine learning models for yield prediction, test time optimization, reliability analysis, and manufacturing process improvement.

Apply advanced analytics and machine learning techniques to large-scale structured and semiconductor manufacturing datasets.

Build scalable ML workflows and predictive solutions that generate actionable engineering insights.

Evaluate model performance and continuously improve model accuracy and effectiveness.

Design and develop intelligent AI agents to automate engineering and operational workflows.

Build AI-driven solutions for applications such as yield analysis, test program validation, root cause investigation, engineering report generation, and process optimization.

Integrate AI agents with enterprise platforms, collaboration tools, and business systems.

Partner with engineering teams to acquire, cleanse, transform, and structure high-volume manufacturing, test, probe, and inline process data.

Develop data pipelines and frameworks that support AI and machine learning applications.

Collaborate with deployment and architecture teams to ensure robust production implementation and scalable inferencing solutions.

Mentor and coach Citizen Data Scientists in applying machine learning methodologies and analytics best practices.

Develop training materials, learning paths, workshops, and hands-on technical sessions.

Review AI/ML projects and provide technical guidance to improve solution quality and business impact.

Foster a culture of data-driven decision-making and AI adoption across Product Engineering.

Collaborate with cross-functional engineering, manufacturing, data science, and IT teams to identify opportunities for AI-driven improvements.

Drive innovation initiatives that reduce test time, improve yield, enhance product quality, and automate manual processes.

Contribute to technical publications, patent disclosures, engineering standards, and internal best practices.

Stay current with emerging AI, machine learning, MLOps, and semiconductor industry technologies.

Support strategic AI initiatives and participate in technology roadmap discussions.

Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.

PhD with ≥2 years, or Master's degree with ≥5 years, or Bachelor's degree with ≥7 years of relevant experience in Computer Science, Data Science,…