AI Systems Platform Development Engineer (m/w/d) (40 hours/week)

# **Key Responsibilities:**

1. Lead the development of the AI-based “Scientific Brain” research platform, including the overall construction of AI systems; apply large language models (LLMs) to design and optimize model architectures, carry out model training, and deploy the integrated AI platform.

2. Utilize robotic technologies to perform high-throughput experiments for the rapid synthesis and screening of a vast array of material candidates, accelerating the discovery of high-performance materials.

3. Analyze experimental data from material characterization techniques; correlate material properties with catalytic performance to guide the optimization of catalyst formulations and synthesis methods, thereby enhancing reaction efficiency.

4. Apply AI-driven computational modeling techniques to predict catalyst behavior at the atomic level; simulate adsorption, activation, and reaction pathways of reactants, identify promising catalyst candidates, and guide experimental work toward the most effective design directions.

5. Continuously explore and apply new AI algorithms and techniques to optimize predictive models and improve catalyst development strategies, thereby accelerating the discovery and optimization of advanced catalysts.

# **Qualification Requirements:**

1. Master’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, Data Engineering, or a comparable technical field

2. Several years of relevant professional experience in AI system development, platform engineering, or a comparable field

3. Solid experience in developing AI systems or scalable platforms, with sound knowledge of distributed system architectures and large-scale data processing

4. Proficiency in Python, Java, or Go

5. Practical experience with common AI frameworks and infrastructure tools, such as TensorFlow, PyTorch, Kubernetes, and Docker

6. Good knowledge of SQL/NoSQL databases, cloud platforms (such as AWS or Azure), and containerized deployment technologies

7. Additional academic or professional background in Electrical Engineering, Energy Engineering, Materials Science, Chemistry, or Chemical Engineering is considered an asset

8. Knowledge of or experience in energy, energy storage, or low-carbon technology applications is highly desirable

9. Very good English skills are required; German and/or Chinese is an advantage.

# **We Offer**

• **Competitive compensation and benefits:** We offer an attractive compensation package based on the responsibilities of the role, the candidate’s qualifications, relevant professional experience, and overall fit. Additional benefits and supplementary payments may be granted in accordance with company policies and individual eligibility.
• **Excellent research environmen**t: Sufficient research funding and access to advanced digital tools and innovative technologies.
• **Innovative workplace:** Exciting and diverse tasks in an international R&D setting with a collaborative, open atmosphere.
• **Room for creativity:** Freedom to contribute your own ideas and actively shape forward-looking solutions in sustainable energy, technology, and organizational development.
• **International collaboration:** Interdisciplinary projects and partnerships with renowned academic and industry players across Europe, including opportunities for international exchange.
• **Career development:** Tailored training programs, individual career pathways, and support for participation in professional events and confe

# **Application process:**

Please send your application documents by email to

Subject line: “[Position] – [Your Name]”.

• *Your application should include:**
• CV (including information/listing of representative research projects for R&D positions)
• University certificates / transcripts (if available)
• Reference letters from previous employers (if available)

By submitting your application, you consent to the processing of your data for the purpose of the recruitment process.

All document will be treated confidentially in accordance with GDPR. We retain applications for up to six months after completion of the recruitment process, unless you give explicit consent for longer storage.

For questions regarding the position or the application process, please contact our Recruiting Team:

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026