AI Systems Platform Development Engineer (m/w/d) (40 hours/week)
Core
Lead the development of an AI-based 'Scientific Brain' research platform for new energy technology R&D, integrating LLMs, robotic experimentation, and computational modeling to accelerate catalyst discovery and material optimization.
Role type
Senior IC AI Systems Platform Development Engineer
Builds
Integrated AI research platform for high-throughput material synthesis and catalyst optimization
Domain
New energy technology / Artificial Intelligence / Materials Science
Deliverable
production ML models
Required skills
AI system development, platform engineering, distributed system architectures, large-scale data processing, Python, Java, Go, TensorFlow, PyTorch, Kubernetes, Docker, SQL/NoSQL databases, cloud platforms (AWS/Azure), containerized deployment
Preferred skills
Electrical Engineering, Energy Engineering, Materials Science, Chemistry, Chemical Engineering, energy storage, low-carbon technology applications
Responsibilities
Design and optimize LLM model architectures and deploy integrated AI platforms; utilize robotic technologies for high-throughput material synthesis and screening; analyze experimental data to correlate material properties with catalytic performance; apply AI-driven computational modeling to predict catalyst behavior at the atomic level; explore and apply new AI algorithms to optimize predictive models and catalyst development strategies