Senior Hardware Engineer
1 mese fa
Italia
trtwo
Tempo pieno
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TR2 SRLS Italian innovative SME
Sectors: Indistrial Automation, BlueEconomy, In Space Operation
Activities: computer vision, industrial automation, AI-powered quality control systems
Techonologies: Casual/Generative AI, optical, multispectral/hyperspectral quantum sensing, machine learning, real-time analytics and customised hardware integration.
Career path toward CTO, Head of AI, Principal Engineer
Industry sectors
Aerospace & Defence, Information Technology, Space & Satellite
Technologies you'll work with
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Salary Range
35000 EUR gross/year
Job Description
Design and deploy advanced computer vision and AI pipelines for industrial and sensing applications. You will lead algorithm development from prototyping to real-world deployment. This is a core technical role in the company. You will work on state-of-the-art vision systems applied to remote sensing, industrial inspection and environmental monitoring, taking solutions from research concept to deployed product. Responsibilities Design, develop and optimise computer vision algorithms and deep learning pipelines for sensing applications Lead the technical architecture of vision-based products from prototyping to production deployment Implement and evaluate state-of-the-art models for object detection, segmentation, classification and tracking Develop data processing pipelines for satellite, drone and ground-based imagery Collaborate with the research team on EU-funded R&D projects involving AI and sensing Perform model training, validation and optimisation on real-world datasets Ensure code quality, documentation and reproducibility of results Mentor junior engineers and contribute to technical strategy Must-have Requirements MSc or PhD in Computer Science, Computer Vision, Machine Learning or related field Minimum 4 years of professional experience in computer vision or deep learning Strong proficiency in Python, PyTorch or TensorFlow Solid experience with CNN architectures, transformers and modern detection/segmentation frameworks Experience deploying ML models in production environments Familiarity with MLOps practices (Docker, CI/CD, model versioning) Nice-to-have Requirements Experience with remote sensing or satellite imagery analysis (SAR, multispectral, hyperspectral) Knowledge of 3D vision, point cloud processing or SLAM Experience with edge deployment (NVIDIA Jetson, ONNX, TensorRT) Publications in top-tier venues (CVPR, ECCV, ICCV, NeurIPS) Experience with EU-funded research projects Personal Requirements Deep technical expertise combined with practical engineering mindset Passionate about pushing the boundaries of applied AI Self-driven and able to work independently on complex problems Strong communicator who can explain technical concepts to non-technical stakeholders Committed to code quality and best practices
Job Description
Design and deploy advanced computer vision and AI pipelines for industrial and sensing applications. You will lead algorithm development from prototyping to real-world deployment. This is a core technical role in the company. You will work on state-of-the-art vision systems applied to remote sensing, industrial inspection and environmental monitoring, taking solutions from research concept to deployed product. Responsibilities Design, develop and optimise computer vision algorithms and deep learning pipelines for sensing applications Lead the technical architecture of vision-based products from prototyping to production deployment Implement and evaluate state-of-the-art models for object detection, segmentation, classification and tracking Develop data processing pipelines for satellite, drone and ground-based imagery Collaborate with the research team on EU-funded R&D projects involving AI and sensing Perform model training, validation and optimisation on real-world datasets Ensure code quality, documentation and reproducibility of results Mentor junior engineers and contribute to technical strategy Must-have Requirements MSc or PhD in Computer Science, Computer Vision, Machine Learning or related field Minimum 4 years of professional experience in computer vision or deep learning Strong proficiency in Python, PyTorch or TensorFlow Solid experience with CNN architectures, transformers and modern detection/segmentation frameworks Experience deploying ML models in production environments Familiarity with MLOps practices (Docker, CI/CD, model versioning) Nice-to-have Requirements Experience with remote sensing or satellite imagery analysis (SAR, multispectral, hyperspectral) Knowledge of 3D vision, point cloud processing or SLAM Experience with edge deployment (NVIDIA Jetson, ONNX, TensorRT) Publications in top-tier venues (CVPR, ECCV, ICCV, NeurIPS) Experience with EU-funded research projects Personal Requirements Deep technical expertise combined with practical engineering mindset Passionate about pushing the boundaries of applied AI Self-driven and able to work independently on complex problems Strong communicator who can explain technical concepts to non-technical stakeholders Committed to code quality and best practices