Your mission
At sewts we automate what others can’t. Gripping of deformable materials like textiles is a task most humans see as intuitive and simple. However, this is a complicated task for robots as they lack the detailed and contextual understanding of where and with what level of sensitivity to handle these textiles. As deep-tech enthusiasts, we teach industrial robots human perception skills. With over €10M in funding we will bring automation to the €1,500bn fashion industry to achieve our long-term vision. Enabling robots to fully automate clothing production.
You will make the difference! We have built a high-performance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high, enjoying our daily challenges, while loving to share a laugh with our fellow team members. We are a diverse team, with many different nationalities, which values direct communication and open feedback.
You will be an integral part of our Software Team, which is responsible for bringing a highly performant AI platform, specialized on deformable materials, to life. It runs in all our robotic products, which comprises a framework to train AI models, a middleware to run a configurable pipeline including AI models, computer vision algorithms on an edge device, and a user interface for configuration, calibration, and monitoring.
As our new Robotics Software Engineer (m/f/d), you will be an integral part of our Software Team. You will be conducting cutting edge research for our generalizing AI handling deformable materials with a focus on clothing. You will be responsible for doing literature reviews and prototyping of different deep learning and reinforcement learning approaches to estimate the state of a handling object and the action that is required to transpose it into a specified goal state. You will play an integral part in guiding our research from a Robotics manipulation and simulation perspective enabling us to build a generalized AI to learn robots’ manipulative tasks on deformable articles.
How you will create an impact with us:
You will make the difference! We have built a high-performance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high, enjoying our daily challenges, while loving to share a laugh with our fellow team members. We are a diverse team, with many different nationalities, which values direct communication and open feedback.
You will be an integral part of our Software Team, which is responsible for bringing a highly performant AI platform, specialized on deformable materials, to life. It runs in all our robotic products, which comprises a framework to train AI models, a middleware to run a configurable pipeline including AI models, computer vision algorithms on an edge device, and a user interface for configuration, calibration, and monitoring.
As our new Robotics Software Engineer (m/f/d), you will be an integral part of our Software Team. You will be conducting cutting edge research for our generalizing AI handling deformable materials with a focus on clothing. You will be responsible for doing literature reviews and prototyping of different deep learning and reinforcement learning approaches to estimate the state of a handling object and the action that is required to transpose it into a specified goal state. You will play an integral part in guiding our research from a Robotics manipulation and simulation perspective enabling us to build a generalized AI to learn robots’ manipulative tasks on deformable articles.
How you will create an impact with us:
- You will do cutting edge research and prototyping in reinforcement learning, object state estimation and learning based control;
- You will develop state of the art Neural networks for handling deformable materials;
- You will develop simulation for 2D, 3D data generation and reinforcement learning of robot trajectories.