Manufacturing Data Science - IPP - Embodied AI

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 conduct cutting-edge research in Embodied AI to seamlessly fuse physical manufacturing operations with digital intelligence.

• Design and develop AI models that interact with real factory equipment, sensors, and robots to enable intelligent, adaptive behavior on the shop floor.
• Build and validate perception, control, and decision-making algorithms that can operate robustly in real manufacturing environments.
• Apply machine learning and advanced data analytics to large volumes of manufacturing and equipment data to enable predictive, autonomous, and closed-loop control.
• Develop and use simulation and digital twins of processes, equipment, and production lines to design, test, and refine embodied AI solutions before deployment.
• Collaborate with process engineers, equipment experts, and data scientists to translate operational needs into AI-driven solutions with measurable impact.
• Document methods and results, and support presentations, publications, and intellectual property (e.g. patents) stemming from your research.
  
  

Your Skills & Experiences

• Master’s or PhD (ongoing or completed) in Computer Science, Robotics, AI, Data Science, Electrical/Industrial Engineering, or similar technical field.
• Solid foundation in machine learning (e.g. supervised/unsupervised learning, deep learning).
• Experience with Python and common AI/ML libraries (e.g. PyTorch, TensorFlow, scikit-learn).
• Understanding of control, robotics, or cyber-physical systems (e.g. motion control, feedback loops, robotics frameworks) is a strong plus.
• Experience with simulation or digital twin tools (e.g. MATLAB/Simulink, AnyLogic, Gazebo, custom simulators) is an advantage.
• Comfortable working with real-world, noisy industrial data, including preprocessing, feature engineering, and model evaluation.
• Strong analytical and problem-solving skills, able to formulate research questions and test hypotheses rigorously.
• Collaborative and proactive working style, able to interface with both technical and non-technical stakeholders.
• English business proficiency, both written and spoken, for technical documentation and 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.