Computer Vision & Robotics AI Software Engineer

What You'll Do

• Architect, design, develop, and maintain 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.
• Design and integrate AI-based capabilities including object detection, segmentation, tracking, localization, scene understanding, and autonomous navigation.
• Investigate, evaluate, and adapt state-of-the-art Computer Vision and Deep Learning models, including Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and modern vision architectures.
• Integrate AI models and perception components into embedded robotic software stacks.
• Optimize and deploy Computer Vision and AI workloads on NXP i.MX MPU-based platforms, balancing accuracy, latency, power consumption, memory usage, and computational constraints.
• Conduct hands-on experiments, benchmarking, performance analysis, and field validation on real robotic systems.
• Iteratively improve perception algorithms and system architectures based on experimental results and real-world observations.
• Develop proof-of-concept solutions demonstrating the feasibility and value of emerging AI and Computer Vision technologies for robotics.
• Participate in architecture discussions, code reviews, technical reviews, and design decisions.
• Collaborate across AI, embedded software, robotics, and hardware teams to deliver robust, scalable, and maintainable solutions.
• Document perception architectures, integration strategies, experimental results, and performance evaluations.
• Your Profile Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Computer Vision, or a related technical field.
• Strong knowledge of deep neural network architectures for vision, particularly: Convolutional Neural Networks (CNNs) Vision Transformers (ViTs) Modern object detection, segmentation, and tracking architectures Experience developing Computer Vision or AI perception pipelines.
• Proficiency in Python and/or C/C++ programming.
• Strong software engineering fundamentals, including software architecture, debugging, testing, and version control using Git.
• Familiarity with Linux development environments.
• Ability to evaluate and integrate AI models into larger software systems.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work effectively within multidisciplinary teams.
• Academic, professional, or project experience with: Robotics perception and autonomous robotic systems.
• Camera-based and depth-based perception.
• Object detection, instance or semantic segmentation, object tracking, localization, or scene understanding.
• Sensor fusion and multi-sensor perception.
• Deployment and optimization of Deep Learning models on embedded or edge computing platforms.
• Model optimization techniques such as quantization and fine tuning.
• Embedded Linux development.
• Robotics middleware and software frameworks such as ROS / ROS 2.
• Computer Vision and multimedia frameworks such as OpenCV and GStreamer.
• AI inference frameworks and runtimes used for edge deployment.
• Performance profiling and optimization of AI workloads with constraints on latency, memory, compute resources, and power consumption.
• 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.
• More information about NXP in France... #LI-6710