System Integrator / Software Engineer – Robotic Hand (m/f/d)

Having secured disruptive innovation funding, we are expanding our core technical team to scale our manipulation capabilities. In this role, you will define our early software architecture and turn complex hardware into robust, benchmarked physical manipulation systems.

You will own the end-to-end integration and software architecture connecting our robotic hand platform to arms, sensors, and real-world manipulation tasks.

• Integrate robotic arms, vision systems, and force-torque sensors with our novel hand platform.
• Architect modular software spanning robot control, perception, and communication abstraction layers.
• Establish benchmarking setups and standardized evaluation metrics for physical manipulation tasks.
• Execute hands-on manipulation experiments and analyze empirical bench-test performance data.
• Collaborate directly on overall physical system assembly and hardware bring-up.

• Degree in Robotics, Computer Science, Machine Learning, Computer Vision, or related field.
• Strong programming skills in C++ and/or Python.
• Practical, hands-on experience building systems in ROS 2.
• Deep expertise in robot control, motion planning, or object detection/segmentation.
• Driven by bench testing, physical hardware experimentation, and data analysis.

Based at a makerspace in Berlin with hardware and software teams co-located in a single collaborative room for rapid, hands-on iteration cycles. Deeply hardware-centric, requiring high on-site presence to build, test, and troubleshoot physical systems directly. Operating in a dynamic, early setup phase with flat hierarchy and direct, daily collaboration with the founders. Decisions are made fast and empirically through direct bench testing and close technical dialogue.

• High technical ownership over early software architecture and system integration.
• Direct, daily collaboration with founders in a flat, rapid-decision environment.
• Collaborative makerspace workspace with hardware and software teams co-located.
• Fast empirical iteration cycles directly on physical deep-tech robotic systems.

C++ · Python · ROS 2 · Robot control · Motion planning · Object detection · Robotic grasping · In-hand manipulation · Non-linear control · Hardware experimentation · Data analysis

This probably isn't for you if:

• You prefer pure simulation or remote work over daily on-site physical hardware testing.
• You thrive only in structured, rigid corporate environments with established processes.
• You want to focus strictly on high-level software without touching sensors or wiring.

If you are excited to get your hands on physical hardware and solve complex robotic manipulation challenges in Berlin, apply now and let's talk.