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

WhyBrilliant

Berlin

On-site

EUR 70,000 - 100,000

Full time

3 days ago
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Job summary

WhyBrilliant is seeking a System Integrator / Software Engineer – Robotic Hand (m/f/d) in Berlin. You will define the early software architecture and integrate robotic arms, vision, and sensors with our hand platform.

The role requires hands-on bench testing, development in C++/Python, and collaboration with hardware teams in a makerspace environment. On-site work in Berlin is expected.

Qualifications

  • Degree in Robotics, Computer Science, ML, or Computer Vision or related field.
  • Strong programming skills in C++ and/or Python.
  • Hands-on experience building systems in ROS 2.

Responsibilities

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

Skills

C++
Python
ROS 2
Robot control
Motion planning
Object detection

Education

Robotics / Computer Science / ML / Computer Vision

Job description

Also searchable as: Robotics Software Engineer

  • Robotic Manipulation Engineer
  • Robotics Systems Engineer
  • Robotics Controls Engineer

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

WhyBrilliant is sourcing applicants for this role on behalf of an early-stage Berlin-based deep-tech robotics startup.

The company's identity may stay confidential until first contact.

The Role

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

Location: Berlin, Germany

Why this role matters

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.

What You'll Do
  • 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.
Who this is a fit for
  • 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.
What it's like to work here

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.

The offer
  • 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.
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.
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