Job Description

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.

Key Responsibilities

Lead end-to-end management of AI programs focused on semiconductor manufacturing and process optimization. Collaborate closely with semiconductor process engineers, data scientists, and AI researchers to identify opportunities for AI-driven improvements. Oversee the development and deployment of machine learning models in computer vision for defect detection, wafer inspection, and process monitoring. Drive predictive analytics initiatives to forecast equipment failures, optimize process parameters, and improve yield. Manage projects involving advanced AI technologies such as Vision-Language Agents (VLA), Vision-Language Models (VLMs), and agentic embodied AI systems. Facilitate communication between AI teams and semiconductor domain experts to ensure alignment on technical requirements and business goals. Define KPIs, track progress, and report on AI program outcomes to senior leadership. Stay abreast of the latest trends and advancements in AI, machine learning, and semiconductor technology to continuously innovate and improve AI applications. Ensure compliance with industry standards and data governance policies.

Soft Skills

Analytical and innovative mindset. Strong cross-disciplinary collaboration. Clear communication between data science, robotics, and operations teams. Strong documentation and safety awareness.

Education & Experience:

Bachelor's or Master's degree in Robotics, AI/ML, Mechatronics, Electrical Engineering, or Computer Science. 3-5 years' experience in semiconductor manufacturing, robotics automation, or AI model deployment. Experience deploying AI/vision models in industrial environments (manufacturing, automotive, electronics) is a plus. Prior experience with embodied AI training using VLM, VLA, and Omniverse highly desirable. This role may require candidate to travel between different manufacturing sites of the company. Experience with cleanroom operation or ISO 14644 standards preferred.
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.