AI & Computer Vision Engineer - #47415

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.

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