Manufacturing Data Science - IPP - Expert System

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

YOUR ROLE

• You design and build agentic AI–driven expert systems that enable predictive and autonomous decision making in manufacturing.
• Develop agent based and multiagent AI systems that can plan, decide, and act on behalf of operators, equipment, or production lines.
• Design reasoning and decision policies that leverage rules, optimization, and learning to handle complex, real time manufacturing scenarios (e.g. dispatching, scheduling, routing, quality control).
• Use simulation and digital twins to model production flows, equipment behavior, and system constraints, and to safely test and refine agent strategies before deployment.
• Integrate predictive models (e.g. for demand, machine health, cycle time, yield) into expert systems to support proactive and prescriptive decisions.
• Collaborate closely with process owners, planners, and equipment engineers to translate operational knowledge into rules, heuristics, and agent objectives.
• Evaluate agentic AI solutions using KPIs such as throughput, WIP, cycle time, OEE, and cost, and iteratively improve performance.
• Document architecture, algorithms, experiments, and support presentations, publications, and IP creation related to expert and agentic AI systems.

Your Skills & Experiences

• Bachelor or master’s in computer science, AI, Data Science, Operations Research, Industrial/Electrical Engineering, or similar.

• Strong foundation in AI and machine learning, with exposure to at least one of:

• Reinforcement learning / multiagent RL

• Planning and decision making under uncertainty

• Rule based or knowledge-based systems

• Experience with Python and AI/ML ecosystems (e.g. PyTorch, TensorFlow, scikitlearn, RL libraries).

• Familiarity with simulation and modeling of manufacturing or logistics systems (e.g. discrete event simulation, agent-based simulation, digital twins).

• Understanding of operations research / optimization (e.g. scheduling, routing, resource allocation) is a strong plus.

• Comfortable working with real operational and equipment data, including cleaning, feature engineering, and validation.

• Strong analytical and conceptual skills, able to formalize complex shopfloor logic into rules, constraints, and agent objectives.

• Collaborative, curious, and proactive, able to work with cross functional teams and incorporate domain expert feedback into AI systems.

• English business proficiency, both written and spoken, for documentation, stakeholder discussions, and technical presentations.

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.