Angsa Robotics

Software Development

11-50

Co-Founder

Germany

We are looking for a skilled and creative Computer Vision Engineer to join our software team. As the first manufacturers for autonomous sufrace management, there are lots of exciting and challenging vision tasks that we need to master. The robot uses deep learning for both the trash detection and the perception of static and dynamic obstacles in its environment.

## Tasks

*   Translate open-ended, real-world problems into well-defined machine learning problems
*   Develop and implement computer vision algorithms for object detection and semantic environment perception on offroad terrain
*   Collaborate with the robotics team to integrate the computer vision algorithms into the robot navigation stack
*   Optimize computer vision algorithms for real-time processing on low-power embedded systems
*   Conduct testing and validation of computer vision algorithms in various outdoor environments
*   Stay up-to-date with latest advancements in computer vision technology and incorporate them into Angsa Robotics' products

## Requirements

*   2+ years of experience in computer vision and perceptual tasks,  
    including 3D perception, multi-class object detection, and image segmentation using deep learning frameworks such as PyTorch
*   Experience with 3D perception and point cloud processing using libraries such as Open3D or PCL
*   Hands-on experience with embedded GPU hardware, CUDA and TensorRT
*   Excellent programming skills in Python
*   Experience with ROS (Robot Operating System) and robot control is a plus

## Benefits

✅ A shaping role in a an emerging robot company

✅ A creative, passionate and international team with flat hierarchies

✅ Great potential for personal development in a growing team

✅ We are moving fast and you will learn a lot

✅ Startup Vibe: Regular team events, flexible working hours & comfortable office

We are looking forward to get to know you!

Employee

<p>We are looking for a skilled and creative Computer Vision Engineer to join our software team. As the first manufacturers for autonomous sufrace management, there are lots of exciting and challenging vision tasks that we need to master. The robot uses deep learning for both the trash detection and the perception of static and dynamic obstacles in its environment.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Translate open-ended, real-world problems into well-defined machine learning problems</li>
<li>Develop and implement computer vision algorithms for object detection and semantic environment perception on offroad terrain</li>
<li>Collaborate with the robotics team to integrate the computer vision algorithms into the robot navigation stack</li>
<li>Optimize computer vision algorithms for real-time processing on low-power embedded systems</li>
<li>Conduct testing and validation of computer vision algorithms in various outdoor environments</li>
<li>Stay up-to-date with latest advancements in computer vision technology and incorporate them into Angsa Robotics&#39; products</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>2+ years of experience in computer vision and perceptual tasks,<br>including 3D perception, multi-class object detection, and image segmentation using deep learning frameworks such as PyTorch</li>
<li>Experience with 3D perception and point cloud processing using libraries such as Open3D or PCL</li>
<li>Hands-on experience with embedded GPU hardware, CUDA and TensorRT</li>
<li>Excellent programming skills in Python</li>
<li>Experience with ROS (Robot Operating System) and robot control is a plus</li>
</ul>
<h2 id="benefits">Benefits</h2>
<p>✅ A shaping role in a an emerging robot company</p>
<p>✅ A creative, passionate and international team with flat hierarchies</p>
<p>✅ Great potential for personal development in a growing team</p>
<p>✅ We are moving fast and you will learn a lot</p>
<p>✅ Startup Vibe: Regular team events, flexible working hours &amp; comfortable office</p>
<p>We are looking forward to get to know you!</p>


Computer Vision Engineer (f/m/x)

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