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Now we’re scaling it into reality, and we need the next generation of physical AI talents who can make the impossible reliable.
At sewts, we build the intelligence that lets robots manipulate deformable materials like textiles, towels, cables with human-like precision. Our systems are already deployed in production across Europe and expanding into the US.
We are building a foundational technology stack called sewts.JUPITER. JUPITER uses genAI to simulate realistically the behaviour of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI, first time ever, robots are enabled to handle soft & deformable materials. With over €10M in funding we will bring automation into all untapped industries, like cloth manufacturing, textiles handling, recycling & e-commerce.
This is where AI leaves the screen and enters the physical world.
And in the physical world, nothing forgives you.
Your Mission
You make Physical AI work in reality.
You will work directly with engineers building AI systems for deployed robotics products—and contribute to technology that operates outside the lab. You learn fast, build fast, and solve problems most people avoid. 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.
What You’ll Actually Do
- Support building and scalingAI systems that run on real robots in real environments;
- Contribute to the development of deep learning models (Python,PyTorch) for computer vision and manipulation;
- Collaborate on design and maintain end-to-end ML pipelines (training → evaluation → deployment);
- Own experiment tracking, reproducibility, and model lifecycle discipline;
- Push model performance toward robustness under real-world noise and edge cases;
- Automate training workflows, hyperparameter optimization, and model iteration loops;
- Work tightly with robotics, MLOps, and simulation teams;
- Help shape sewts.JUPITER into a production-grade Physical AI platform.
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