Posted 3 months ago
AI Researcher – Semiconductor & Materials AI (Shenzhen Residency)
AI Summary
AI Researcher focused on semiconductor and materials AI, developing AI-based circuit design and AI-driven material simulation solutions; requires relocation to Shenzhen for 12 months.
About this role
TCL is a global leader in consumer electronics with 120,000 employees across 78 countries and ranked the #2 TV brand worldwide. Our portfolio spans display panels, mobile devices, wearables, home appliances, and renewable energy solutions.
We are expanding our advanced research activities and are looking for AI Researchers and AI Engineers with experience in:
AI-based circuit design (EDA, optimization, layout automation, verification) or
AI-driven material simulation and modelling (physics-informed ML, generative models, surrogate modelling)
This role requires relocation to Shenzhen, China for a minimum of 12 months. After the initial 12 month period, employees may choose to extend their stay in Shenzhen or continue their work from TCL Research Europe in Warsaw, Poland.
We offer:
1-year fully supported relocation to Shenzhen (China) - one of the world's most dynamic tech hubs
Accommodation provided
Flights covered
Visa and administrative support
Work on high-impact industrial AI applications
Attractive salary adequate to skills and experience
Opportunity to publish research papers
Requirements
Must have:
MSc or PhD in Computer Science, Electrical Engineering, Physics, Materials Science, or related field
Experience with machine learning (deep learning, generative models, optimization, reinforcement learning, or physics-informed ML)
Practical experience in circuit design automation or materials simulation/modelling
Strong programming skills (Python; experience with ML frameworks such as PyTorch or TensorFlow)
Strong analytical and research mindset
Fluent English
Nice to have:
Experience with semiconductor design tools
Experience with multiphysics simulation tools
Publications or patents in AI + hardware/material domains
Skills
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