Principal AI Scientist / Deep AI Research Engineer (Autonomous & Agentic Systems)

Qarbon IT; Wolfsburg; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A cutting-edge AI research firm is seeking a Principal AI Scientist / Deep AI Research Engineer to work on autonomous and agentic AI systems within a major automotive group’s innovation division. Candidates should have a Ph.D. and significant experience in AI R&D, especially in advanced AI architectures and multi-modal systems. The position offers flexible hybrid or remote work options and involves collaboration with some of the industry's leading minds.

Qualifikationen

• 8–15 years of hands-on AI R&D experience.
• Proven record of publications in top conferences.
• Experience in leading AI research teams.

Aufgaben

• Join a forward-looking research program focused on autonomous and agentic AI systems.
• Build innovative AI systems that merge perception, reasoning, and real-world interaction.
• Collaborate with global leaders in AI, autonomy, and cognitive computing.

Kenntnisse

Transformer Architectures

Agentic AI Systems

Multimodal Models

Graph Neural Networks

Hardware-Aware AI Design

Python

C++

Rust

CUDA

TensorFlow

PyTorch

Ausbildung

Ph.D. in Computer Science, Machine Learning, Robotics, or related field

Tools

HuggingFace

LangChain

Docker

Kubernetes

Jobbeschreibung

Who We Are

At Qarbon IT, we bring together innovation, research, and engineering to create cutting-edge digital and intelligent systems.
We collaborate with global leaders on projects that explore the future of AI, autonomy, and cognitive computing.
Our goal is simple — to connect visionary minds with challenges that push the boundaries of what’s possible in machine intelligence.
We’re now looking for a Principal AI Scientist / Deep AI Research Engineer to join a forward-looking research program within Volkswagen Group Innovation, focused on autonomous and agentic AI systems that merge perception, reasoning, and real-world interaction.

🌍 Location / Work Mode

• Flexible hybrid or fully remote collaboration (EU or global).
• Occasional travel to Volkswagen Group Innovation hubs in Germany.

Contract Type

B2B
Long-term research partnership on AI innovation and autonomy projects

🧠 Core Expertise

Transformer Architectures (LMMs & LLMs)

• Deep understanding of transformer internals (attention mechanisms, positional encodings, parameter-efficient fine-tuning, model parallelization).
• Experience developing or optimizing architectures comparable to GPT, Gemini, or DeepSeek.

Agentic AI Systems

• Proven expertise in building autonomous agents capable of reasoning, planning, and multi-step decision-making.
• Familiarity with AutoGPT, BabyAGI, LangGraph, or custom orchestrators.

Multimodal Models (VLAM / Vision-Language-Action Models)

• Strong background in fusing visual, textual, and behavioral modalities for physical AI or robotics.
• Experience with embodied AI datasets, reinforcement learning with human feedback (RLHF), and simulation-to-real transfer.

Graph Neural Networks (GNNs)

• Expertise in dynamic graph embeddings, message passing, and hybrid GNN-transformer architectures.
• Application of GNNs in vehicle networks, sensor fusion, and perception pipelines.

Hardware-Aware AI Design

• Understanding of HPC, GPU/TPU optimization, and AI model co-design with hardware constraints.
• Familiarity with NVIDIA Jetson, Qualcomm AI Engine, or custom accelerator architectures is a strong plus.

⚙️ Tech Stack & Tools

Programming: Python, C++, Rust, CUDA, TensorFlow, PyTorch, JAX
Frameworks: HuggingFace, LangChain, DeepSpeed, Ray, OpenVINO
Domains: Reinforcement Learning, Self-supervised Learning, Cognitive Architectures, Robotics
Environments: Linux, ROS, Docker, Slurm, Kubernetes

🎓 Preferred Background

• Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
• 8–15 years of hands‑on AI R&D experience.
• Proven record of publications (NeurIPS, ICML, CVPR, ICLR) or leadership in AI research teams.
• Experience in top‑tier research environments (e.g. Google DeepMind, OpenAI, Anthropic, Microsoft Research, Huawei, or similar).

💡 Soft Skills

• Visionary thinker with strong technical and scientific intuition.
• Capable of bridging theoretical research with applied engineering.
• Collaborative leader with experience guiding small, specialized research teams.
• Excellent communication in English (German is a plus).