Mid-Senior Software Engineer – Computer Vision

Oversonic; Carate Brianza; In loco; EUR 52.000 - 78.000; Tempo pieno

Vantaggi offerti da questo lavoro

Docker and MLOps support

Descrizione del lavoro

Oversonic is seeking a Software Engineer to join the Vision team, focusing on integrating computer vision models into production software for our robotics platform, on edge devices and in the cloud.

You will design robust pipelines for data acquisition, inference, and AI model deployment, collaborating with AI, Software, and Hardware teams; proficiency in Python, PyTorch or TensorFlow, and experience with NVIDIA Jetson is required.

Competenze

• Bachelor's or Master's degree in CS, Software Engineering, Robotics, or related field.
• At least 2 years of software development experience focusing on computer vision, robotic perception, or 3D vision.
• Strong Python OOP with multithreading and async programming.
• Experience with streaming and IoT protocols such as WebRTC and MQTT.
• Hands-on with RGB-D pipelines, point clouds, and 3D libraries like PCL.
• Experience deploying DL models with PyTorch or TensorFlow.
• Experience deploying/optimizing AI models on GPUs/edge with ONNX Runtime, TensorRT, CUDA, NVIDIA Jetson.
• Familiarity with Git workflows.

Mansioni

• Integrate CV models into production software across robotics platform.
• Develop services and pipelines for image acquisition, inference, and post-processing.
• Deploy AI apps on edge devices (NVIDIA Jetson) and cloud.
• Integrate with REST/gRPC, messaging, and streaming protocols.
• Optimize performance and manage AI model lifecycle (ONNX, TensorRT).
• Develop modular software in Python.
• Containerize apps with Docker and contribute to CI/CD.
• Collaborate with AI, Software, and Hardware teams for end-to-end solutions.

Conoscenze

Python

Object-Oriented Programming

Multithreading

Asynchronous programming

Edge computing

PyTorch

TensorFlow

ONNX Runtime

TensorRT

CUDA

NVIDIA Jetson

Git

REST/gRPC

WebRTC

MQTT

PCL

3D vision

Formazione

Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, or related field

Strumenti

Docker

CI/CD pipelines

ROS / ROS 2

MLOps infrastructures

Descrizione del lavoro

We are looking for a Software Engineer with experience in integrating Computer Vision 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.

The 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.

The selected candidate will work on:

• Integrating computer vision models (object detection, segmentation, and pose estimation) into production software applications.
• Developing software services and pipelines for image acquisition, inference, and post-processing.
• Deploying AI applications on edge devices (NVIDIA Jetson) and cloud infrastructures.
• Integrating with middleware, REST/gRPC APIs, messaging systems, and streaming protocols.
• Optimizing application performance and managing the AI model lifecycle (ONNX, TensorRT).
• Developing modular software in Python.
• Containerizing applications with Docker and contributing to CI/CD pipelines.
• Collaborating with AI, Software, and Hardware teams to deliver end-to-end integrated solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, or a related field.
• At least 2 years of experience in software development with a focus on computer vision, robotic perception, or 3D vision systems.
• Strong knowledge of Object-Oriented Programming in Python, including multithreading and asynchronous programming.
• Experience with streaming protocols (e.g., WebRTC) and IoT communication protocols (e.g., MQTT).
• Hands-on experience with RGB-D pipelines, point cloud processing, and 3D libraries (e.g., PCL).
• Experience developing or integrating deep learning models for object detection, segmentation, and pose estimation using PyTorch or TensorFlow.
• Experience deploying and optimizing AI models on GPUs and edge devices using technologies such as ONNX Runtime, TensorRT, CUDA, and NVIDIA Jetson.
• Experience with model conversion, FP16/INT8 quantization, and real-time inference optimization.
• Familiarity with collaborative development workflows based on Git.

Nice to Have

• Experience with ROS or ROS 2.
• Experience with Docker and MLOps infrastructures.
• Experience building or maintaining CI/CD pipelines for machine learning models.
• Familiarity with Vision-Language Models (VLMs) or other emerging AI models for robotics.