Computer Vision & Robotics AI Software Engineer

Location: Sophia-Antipolis (Valbonne), France

Company

hirify.global develops semiconductor and embedded computing technologies, including AI solutions for robotics and edge platforms.

What you will do

• Architect, develop, maintain, and document end-to-end Computer Vision and AI perception pipelines for robotics applications.
• Prototype and demonstrate perception solutions on real robotic platforms using camera, depth, and other sensor inputs.
• Integrate object detection, segmentation, tracking, localization, scene understanding, and autonomous navigation capabilities into embedded robotic software stacks.
• Evaluate and adapt state-of-the-art Computer Vision and Deep Learning models, including CNNs, Vision Transformers, and modern vision architectures.
• Optimize and deploy AI workloads on NXP i.MX MPU-based platforms while balancing accuracy, latency, power, memory, and compute constraints.
• Conduct experiments, benchmarking, performance analysis, field validation, architecture discussions, code reviews, and technical collaboration across AI, embedded software, robotics, and hardware teams.

Requirements

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Computer Vision, or a related technical field.
• Strong knowledge of vision deep neural networks, including Convolutional Neural Networks, Vision Transformers, and object detection, segmentation, and tracking architectures.
• Experience developing Computer Vision or AI perception pipelines.
• Proficiency in Python and/or C/C++.
• Strong software engineering fundamentals in architecture, debugging, testing, and Git-based version control.
• Familiarity with Linux development environments and ability to evaluate and integrate AI models into larger software systems.
• Strong analytical, problem-solving, and communication skills, with the ability to work effectively in multidisciplinary teams.

Nice to have

• Academic, professional, or project experience with robotics perception and autonomous robotic systems.
• Experience with camera-based and depth-based perception, sensor fusion, and multi-sensor perception.
• Experience with object detection, instance or semantic segmentation, object tracking, localization, or scene understanding.
• Experience deploying and optimizing Deep Learning models on embedded or edge computing platforms, including quantization and fine tuning.
• Embedded Linux development and robotics middleware such as ROS or ROS 2.
• Computer Vision and multimedia frameworks such as OpenCV and GStreamer, plus AI inference frameworks and edge-deployment runtimes.
• Performance profiling and optimization under latency, memory, compute, and power constraints.
• Prototyping and validation of Computer Vision algorithms on real robotic platforms.
• Research, internship, thesis, or professional experience in Computer Vision, robotics, embedded AI, or Edge AI.

Culture & Benefits

• Full-time role based in Valbonne, France.
• Multidisciplinary collaboration across AI, embedded software, robotics, and hardware teams.
• Hands-on work with real robotic platforms and NXP i.MX MPU-based systems.