STIGA is a leading European manufacturer and distributor of lawnmowers and power garden equipment, with over 90 years of experience in the market.

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? 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).