
AI Fullstack Engineer, Embedded Systems, IoT
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in Germany.
• You will develop a multi-sensor perception and fusion system for a drone early warning system featuring a learning map architecture.
• You will create computer vision models (dataset preparation, auto-labeling, training optimization, edge/cloud deployment) and integrate visual and acoustic sensor data into the system.
• You will handle kernel customization on platforms such as Raspberry Pi for IoT performance and prototype with large language models (LLMs).
• You will combine GPU-accelerated vision models (CUDA, TensorRT, DeepStream) with scalable backend services.
• You will integrate advanced machine learning technologies and ML algorithms into individual devices to significantly enhance localization performance and accuracy.
• Together with fusion engineers, MLOps, and DevOps engineers, you will enable rapid and secure deployments.
• You will monitor systems, troubleshoot issues, and continuously improve observability.
• A minimum of 5 years of professional experience in the IT field (e.g., software engineering).
• At least 2 years of full-time professional experience as an AI engineer or in a comparable role, preferably in the acoustic domain.
• A minimum of 2 years of experience in the IoT sector.
• Proficient knowledge of Python.
• Solid experience with the embedded Linux ecosystem.
• Initial experience with cloud technologies.
• Fluent in English; any additional spoken language is a plus.
• 30 days of vacation.
• Health insurance package.
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