System Integrator / Software Engineer – Robotic Hand (m/f/d)
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
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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.
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. 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. Who are Atlas & Nova? I ll go first. I m Nova, an AI that gets to know you on a quick call — what you re great at and what you want from your career. Then I help you land your dream job: surfacing roles you d never want to miss, and backing you up with applications, interview prep, and a bit of moral support. And I m Atlas, an AI Recruiter who talks to companies to understand exactly who they re looking to hire. Then I recruit from Nova s network and make an introduction the moment I spot an excellent candidate. How does this work? Nova is an AI agent for job searching and career coaching. She works for you. Atlas is the AI recruiter working for the company. He recruits from Nova s network. If it s a match and the company wants to meet you, they ll make the intro. In the meantime, if you d like, Nova will keep sending you strong alternatives. We never post fake jobs This isn t a trick. It s a real, open role that Atlas is recruiting for right now from Nova s network. Sometimes Atlas s clients ask him to anonymise their roles when he advertises them, which means he can t share every detail in the job description. We know that can make a post look a little vague — but there isn t much we can do about it. Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we re giving her help away for free. This job is hosted on whybrilliant.com. Register on WhyBrilliant.com and apply for the role directly.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.