Transformez ce poste en entretien — un CV et une lettre de motivation conçus selon ce que cet employeur recherche.
Bleu Robotics in Paris is seeking a Robotics Software Engineer focused on integrating our end‑to‑end AI stack with real hardware. You’ll connect perception, learning, and orchestration across humanoid and other robotic platforms, ensuring seamless operation on real robots.
The role requires strong ROS 2 knowledge, Python proficiency, Docker deployment experience, and hands‑on work with physical robotic systems. Occasional on‑site customer deployments are expected.
Bleu Robotics is an AI company developing universal AI software for the deployment of advanced robots , humanoids, mobile manipulators, and industrial arms, in real factories. The convergence of humanoid robotics and modern AI is one of the most significant technical opportunities of the decade, and most of the work today still happens in research settings. We are building the software layer required to bring it into operational use.
We have a strong ambition to become the next Microsoft to run on every industrial humanoid. We have closed our pre‑seed round with Top‑tier fund to deploy our robot in Tier 1 manufacturing facilities.
We are looking for deeply passionate scientists who can help us push the frontier and build a major lab in our physical AI.
To enable a robot to learn a new industrial task from a few demonstrations and operate autonomously, with under one hour between the start of the demonstration and the start of deployment.
This objective shapes our roadmap and every technical decision we make.
We are hiring Robotics Software Engineers focused on integration to join the engineering team that owns our end‑to‑end AI stack. Your work will ensure that perception, learning, orchestration, and robot interfaces function as one coherent system on real hardware, across a diverse set of robotic platforms.
The role is based in Paris, with occasional on‑site work at customer facilities - typically one concentrated week per month for deployment, commissioning, and production debugging.
We are equally interested in two kinds of background:
robotics engineer with experience in deploying robots in real factories or developing robots for real factories (e.g., worked for a robot manufacturer or for a startup that deployed their robot in factories).
robotics engineer with experience in academic or industrial labs, working on deploying and integrating machine learning models on real robots.
Experience with humanoid robots is appreciated but not required.
The engineering team is organized around three focus areas with multiple engineers each: Integration (this role), Vision & Perception, and Robot Learning . Early hires will help shape engineering practices, hiring, and culture.