Physical AI Wizard Wanted (mfd) – Robotics | Series A | Munich
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Job Summary
Your mission
Robots couldnt handle soft materials. We fixed that.
Now were scaling it into reality and we need someone 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 . JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI for the 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.
You make Physical AI work in reality.
Not on paper. Not in demos. Not in ideal conditions but with industrial required speed.
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.
Now were scaling it into reality and we need someone 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 . JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI for the 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.
You make Physical AI work in reality.
Not on paper. Not in demos. Not in ideal conditions but with industrial required speed.
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 Youll Actually Do
- Build and scale AI systems that run on real robots in real environments;
- Develop deep learning models (Python PyTorch) for computer vision and manipulation;
- Design andmaintainend-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 optimisation and model iteration loops;
- Work tightly with roboticsMLOps and simulation teams;
- Help shape into a production-grade Physical AI platform.
Your profile
Who You Are
- 2-4 years work experience in computer vision applications (object detection classification);
- Strong Python and PyTorch fundamentals;
- ExperiencedwithClearML GCP or similar ML infrastructure stacks;
- Deep understanding of model training evaluation and failure modes;
- Experience with ML pipelines cloud infrastructure orMLOpstooling;
- You care about what survives contact with reality not just what looks good in experiments;
- You move fast think clearly and fix things when they break;
- Yourecomfortable operating without perfect structure;
- You are fluent in English.
Nice to Have
- Experience with robotics industrial AI or embodied systems;
- Vision Language Models or scene understanding exposure;
- Model optimization (TensorRT quantization PTQ);
- Experience in productionizing machine learning solutions.
Why us
Why This Role
- You build AI that physically acts in the worldnot just predicts it;
- Your work runs directly on deployed robotic systems;
- Small team extreme ownership no abstraction layers;
- You shape a category: Physical AI for deformable materials;
- Real impact is visible in production not dashboards;
- Munich-based high-performance environment.
Setup & Benefits
- Competitive salary VSOP participation;
- Learning budget fast growth environment;
- Deutschlandticket EGYMWellpass;
- Speciality coffee at the office;
- Flexible working setup;
- Regular team events high trust low bureaucracy.
Reality Check
Things will break. Edge cases will win.If you want clean problems this is not it. If you want to build intelligence that survives the real worldwelcome to sewts.
Your Talent Partner
We want to ensure a smooth recruitment process for you. If you have questions or would like to know more about this role your Talent Partner Fatima is there to support you.
You may use the following channels to connect with her:
Email:
WhatsApp:
You may use the following channels to connect with her:
Email:
WhatsApp:
About us
At sewts we are automating complex processes by teaching robots human-like perception skills. We are a young ambitious and diverse team of eight different nationalities with the mission to become the global go-to Partner for automated processing of deformable and soft materials. We are always willing to push our boundaries to reach our goals and targets while learning from the daily challenges of an emerging startup. We are always on a hunt for likeminded individuals who are passionate about robotics automation AI and courageous to create an impact. Are you ready
About Company
At sewts we are automating complex processes by teaching robots human-like perception skills. We are a young, ambitious, and diverse team of eight different nationalities with the mission to become the global go-to Partner for automated processing of deformable and soft materials. We ... View more
