Key Skills

Job Description

Luxeed Breadcrumb Brightlands Campus Greenport Venlo AI & Computer Vision Engineer LUXEED Robotics B.V. (link is external) is a Dutch early-stage AgTech startup that uses lasers and AI to burn weeds with high precision, ZERO herbicides needed. We’re making lasers more affordable and accessible to farmers to help them transition to organic and regenerative weeding. LUXEED has received funding and recognition from various national and international players. Please watch the following video (link is external) to know more about the robot. Do you want to be part of a cutting-edge technology that will eliminate the use of herbicides by zapping weeds with lasers? This is a remote and task-based opportunity where your problem-solving and critical skills, communication, and ability to adapt will be highly challenged. We expect around 40 hrs/week. Compensation Starting at € 1,700/month. Responsibilities Design, train, and evaluate deep learning models in PyTorch for tasks such as object detection, segmentation, regression, and keypoint tracking. Work with state-of-the-art architectures and adapt them to our agricultural use cases. Optimize models for embedded deployment using TensorRT, ONNX, and hardware accelerators. Build efficient training and inference pipelines, with an emphasis on speed, accuracy, and robustness. Conduct experiments, manage datasets, and implement preprocessing/augmentation strategies to improve model generalization. Collaborate with robotics and software teams to integrate models into real-time robotic control systems. Track metrics and performance in production, iterating to improve reliability in field conditions. Qualifications Bachelor’s or Master’s in Computer Science, AI, Robotics, or related field. Strong hands-on experience with PyTorch and deep learning model development. Background in computer vision tasks: detection, segmentation, regression, keypoint estimation. Experience optimizing inference with TensorRT, ONNX, or similar frameworks. Familiarity with embedded/edge AI hardware (e.g., NVIDIA Jetson, GPUs, or similar). Solid understanding of neural network architecture design and training best practices. Strong coding skills in Python; C++ knowledge is a plus. Ability to work in a fast-paced R&D environment and collaborate across AI, robotics, and hardware teams. Why join LUXEED? Be part of a cutting-edge startup revolutionizing sustainable agriculture. Work in a highly collaborative environment across AI, hardware, and robotics. Opportunities for growth, ownership, and impact from day one. If you're passionate about research, robotics, and automation, and want to contribute to the future of precision Agriculture, we’d love to hear from you! DROP US AN EMAIL AT [email protected] WITH THE POSITION AND YOUR NAME AS SUBJECT, AND YOUR MOTIVATION IN THE BODY. Interested in other vacancies at Brightlands Campus Greenport Venlo? The overview About Brightlands Campus Greenport Venlo Future Farming High-tech agricultural innovation Overview Facilities for Agrifood innovation At Brightlands Campus Greenport Venlo Overview Companies and knowledge institutes in Agrifood Which companies and research institutions are affiliated with Brightlands Campus Greenport Venlo?

Core Responsibilities

Design, train, and evaluate deep learning models for agricultural robotics using PyTorch and state-of-the-art architectures. Collaborate with robotics and software teams to integrate and optimize these models for real-time embedded deployment.

Requirements

Requires a Bachelor’s or Master’s degree in Computer Science, AI, or Robotics with strong hands-on experience in PyTorch and computer vision. Candidates must possess solid Python coding skills and familiarity with embedded AI hardware and inference optimization frameworks.

Benefits

• Growth opportunities
• Ownership
• Impact