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Mid-Senior Software Engineer – Computer Vision

Pubblicato il 31-07-2026 - Oversonic in Carate Brianza

ppWe are looking for a bSoftware Engineer /b with experience in integrating bComputer Vision /b solutions to join our Vision team. The successful candidate will primarily be responsible for developing and integrating software applications that bring computer vision models into production across our robotics platform, both on edge devices and in the cloud. /p pThe role will focus on designing robust and modular software pipelines for data acquisition, inference, inter-service communication, and AI model deployment, while collaborating closely with the AI, Software, and Hardware teams. /p pThe selected candidate will work on: /p ul liIntegrating computer vision models (object detection, segmentation, and pose estimation) into production software applications. /li liDeveloping software services and pipelines for image acquisition, inference, and post-processing. /li liDeploying AI applications on edge devices (NVIDIA Jetson) and cloud infrastructures. /li liIntegrating with middleware, REST/gRPC APIs, messaging systems, and streaming protocols. /li liOptimizing application performance and managing the AI model lifecycle (ONNX, TensorRT). /li liDeveloping modular software in Python. /li liContainerizing applications with Docker and contributing to CI/CD pipelines. /li liCollaborating with AI, Software, and Hardware teams to deliver end-to-end integrated solutions. /li /ul h3Requirements /h3 ul liBachelor's or Master's degree in Computer Science,



Software Engineering, Robotics, or a related field. /li liAt least b2 years of experience /b in software development with a focus on computer vision, robotic perception, or 3D vision systems. /li liStrong knowledge of bObject-Oriented Programming in Python /b, including multithreading and asynchronous programming. /li liExperience with streaming protocols (e.g., bWebRTC /b) and IoT communication protocols (e.g., bMQTT /b). /li liHands‑on experience with RGB‑D pipelines, point cloud processing, and 3D libraries (e.g., bPCL /b). /li liExperience developing or integrating deep learning models for object detection, segmentation, and pose estimation using bPyTorch /b or bTensorFlow /b. /li liExperience deploying and optimizing AI models on GPUs and edge devices using technologies such as bONNX Runtime, TensorRT, CUDA, and NVIDIA Jetson /b. /li liExperience with model conversion, bFP16/INT8 quantization /b, and real‑time inference optimization. /li liFamiliarity with collaborative development workflows based on bGit /b. /li /ul h3Nice to Have /h3 ul liExperience with bROS /b or bROS 2 /b. /li liExperience with bDocker /b and MLOps infrastructures. /li liExperience building or maintaining bCI/CD pipelines /b for machine learning models. /li liFamiliarity with bVision‑Language Models (VLMs) /b or other emerging AI models for robotics. /li /ul /p #J-18808-Ljbffr

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