Robotics & AI Engineering – Autonomy & Physical AI (M/F/D)

Your Mission

The Revolution: Modular Robotics

RobCo is spearheading a revolution in modular robotics—making automation radically easier, more flexible, and more intelligent. With over €50 million in funding from world-class investors like Sequoia Capital and Lightspeed, we are building the category-leading robotics company in Europe and the US.

We are looking for the builders, the researchers, and the systems thinkers who want to bridge the gap between cutting-edge AI and real-world physical action.

Your Mission

As a member of our Autonomy & Learning team, you will shape the core of RobCo’s next-generation robotic platform. Whether you are training foundational models, architecting distributed middleware, or building the evaluation engines that ensure safety and reliability, your work will run on real robots in the real world every day.

Choose Your Impact Track

We are hiring across several core pillars. In your application, let us know where you shine:

Focus Area

Core Responsibilities

Key Technologies

Robot Learning & Research

Developing and deploying SOTA policies (VLA, Diffusion, RL) for robotic manipulation.

PyTorch, JAX, Hugging Face, Sim-to-Real.

Robotics & ML Infrastructure

Building the distributed foundations, ROS 2 middleware, and scalable cloud-native pipelines.

C++, Python, ROS 2, Zenoh, AWS, Docker.

Data & Evaluation Engineering

Owning the ecosystem for model testing, multimodal datasets, and automated simulation workflows.

Python, NumPy/Pandas, Ray Data, Isaac Sim/Unity.

Your Profile

We are looking for engineers and researchers with a "hardware-first" mindset and a background in Machine Learning, Robotics, Computer Science, or Data Engineering.

• The Architect: You have 5-10+ years of experience in distributed systems, software engineering, or robotics platforms.

• The Scientist: You have an advanced degree (Master's or PhD) and a track record of adapting academic research into robust, scalable robot capabilities.

• The Craftsman: You write clean, maintainable Python or C++ and are comfortable working across multiple engineering disciplines.

• The Evaluator: You are obsessed with rigor, metrics, and building the "evaluation engine" that drives model improvement.

Why us?

• High Ownership: You will own central, high-impact components of our learning stack from day one.

• World-Class Environment: Work alongside experts from Sequoia-backed startups and top research labs.

• Real Deployment: We don't just do research; we deploy learned policies on real robot fleets.

• Modern Perks: Hybrid work model, flexible hours, and top-tier equipment.

Join us and build the next generation of intelligent, autonomous modular robots.