Hardware & Embedded Software Engineer

• Back-end development of the embedded software on the sprayer that coordinates with the user interface, the cloud and the edge devices that take care of the weed detection
• Implementation of the neural network deployment on edge devices ingesting camera stream of the field with low latency triggering opening and closing of the spray nozzles
• Developing cloud tools and methods for the units on the machine:
• for easily and rapidly updating the embedded software
• for remote monitoring of the units on the machine
• Collaborate with our neural network specialists, user interface and cloud software developers
• Implementing algorithms for training and evaluating neural networks
• Troubleshooting and debugging errors in existing models

• Master’s degree of Science in Engineering, Electronics, Computer Sciences
• Familiar with Linux, Docker, Python
• Good software development /DevOps practices
• Experience with:
• embedded devices based on for example ARM processors, NVIDIA devices
• neural network deployments
• handling of images and video
• Affinity with electronics
• Experience/interest with remote device management like Azure IoT hub
• Affinity with agriculture: open to field visits
• You work well in a team environment and can collaborate with other teams
• Able to work autonomously and proactive
• Fluency (written & verbal) in English is mandatory, Dutch or other languages are a plus

• Next to the monthly salary you will enjoy 20 holidays and 12 supplementary days (ADV-dagen), you will receive meal vouchers, an extensive insurance package (and your family), laptop, iPhone, Internet at home, and a generous bonus scheme based on company targets.
• We work 40 hours a week in a flexi-time schedule.

IO2024