STIGA is a leading European manufacturer and distributor of lawnmowers and power garden equipment, with over 90 years of experience in the market.
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We are consistently curious, conscious of trends, inspiring, and visionary – just like our customers.
We are looking for an AI ENGINEER who will report to Firmware Engineer Coordinator, capable of delivering high-quality Computer Vision and Machine Learning solutions for autonomous robotic systems.
Key Responsibilities:
* Develop, train and deploy machine learning models (specifically Computer Vision for semantic segmentation and object detection) to enhance robot autonomy and safety.
* Collaborate with Firmware Engineers to integrate AI models into embedded environments and real-time architectures.
* Design and implement algorithms for path planning, navigation, and environment mapping (VSLAM/GNSS-RTK integration).
* Optimize neural networks for inference on edge devices to ensure low latency and power efficiency.
* Specify, design, implement and test behavior logic for robot interaction with dynamic garden environments.
Skills & qualifications:
Must Have:
* Technical background (Computer Science, Robotics, or related field).
* Experience in AI/ML development and strong skills in Python and C++ programming.
* Fluent in Deep Learning frameworks and Computer Vision libraries.
* Fluent in software fundamentals including model optimization (quantization, pruning), data structures, and algorithm development.
* Fluent in requirements and versioning tools management (Git).
* Familiar with the embedded deployment process: cross-compilation, edge AI accelerators, and debugging tools.
* Capable of hands-on data collection, model training, and testing in real-world scenarios.
Nice to have:
* Knowledge of Linux and ROS (Robot Operating System).
* Knowledge of robotics and IoT systems, including GNSS-RTK navigation and sensor fusion.
* Experience in synthetic data generation and simulation environments.
Curious about our values? xjrgpwk Explore them here!
Interested candidates must send their applications with authorization under GDPR (EU Reg. 679/2016). The recruitment process is open to candidates of all genders (D.lgs. 198/2006).