About us:
At zehnlab.ai (zehn), we develop synthetic data generation technologies to address data scarcity and ensure privacy in fields like education, healthcare and energy. Our solutions create data that accurately mirrors real-world distributions, significantly enhancing machine learning algorithm performance.
About the role
We are looking for an AI Developer / Embedded Computer Vision Specialist to build and deploy on-device CV solutions on edge and embedded platforms (MCUs, SoCs, NVIDIA Jetson, ARM boards).
Key responsibilities
• Develop and optimize computer vision and deep learning models for deployment on embedded/edge devices.
• Build end to end pipelines: data preparation, training, evaluation, and on device inference.
• Convert and optimize models (ONNX, TensorRT, TFLite, etc.) under strict memory, power, and latency constraints.
• Implement inference and camera/video processing in C/C++ and Python on Embedded Linux/RTOS.
• Collaborate with hardware and backend teams to deliver reliable edge AI products.
Requirements
• 1+ years in computer vision / machine learning or embedded software engineering.
• Strong C/C++ and Python skills; experience with PyTorch or TensorFlow.
• Hands on experience with embedded platforms (e.g. Jetson, NXP, STM32 or similar) and common interfaces (I2C, SPI, UART).
• Experience with OpenCV and CNN based models (detection, classification, segmentation).
• Good written and spoken English for technical communication.
Nice to have
• Experience with GStreamer/V4L2 and real time video streaming.
• Knowledge of quantization, pruning, and other edge AI optimization techniques.
• Experience with MLOps tools for monitoring and retraining CV models.
What we offer
• Competitive compensation package and official employment with long term career growth opportunities.
• Flexible or hybrid work setup, with opportunities to contribute to both R&D and production grade systems.
• A team of experienced embedded, CV, and AI engineers, with mentoring and budget for courses, conferences, and certifications.
• The chance to ship real world products that run on physical devices and have tangible impact for our customers
