Lili-o produit des données d’entraînement et des logiciels pour les robots autonomes opérant dans des environnements domestiques. Ses clients sont des entreprises et laboratoires de recherche en robotique, qui cherchent à entraîner des robots aux variations du monde réel.
Robotics Engineering Internship — R&D Integration & Testing
Am I a fit — voir ma compatibilitéWho are we? You've seen the videos — humanoid robots dancing, boxing, doing backflips. Impressive. But the real question nobody has answered yet is: what happens when that robot is standing in your kitchen? Humanoid robots will enter our daily lives. Whether that's in 3 years or 10 depends on one thing: the brain running the software. Today's robots can m…
Repères sur Lili-o
- Secteur
- Logiciels et Internet
- Type d’entreprise
- Financée par du capital-risque
- Stade
- Startup early-stage
- Domaine officiel
- lili-o.com
- Création
- 2025 · 1 an
- Dernière levée
- Seed · 2026-06-01
- Offres ouvertes
- 3
Investisseurs mentionnés
Détails de l’offre
La description complète publiée par Lili-o.
Description de l’offre
Who are we?
You've seen the videos — humanoid robots dancing, boxing, doing backflips. Impressive. But the real question nobody has answered yet is: what happens when that robot is standing in your kitchen?
Humanoid robots will enter our daily lives. Whether that's in 3 years or 10 depends on one thing: the brain running the software. Today's robots can move. They just can't think — not autonomously, not in the messy, unstructured reality of a home environment.
That's the challenge we tackle at Lili-O. We build the autonomous brain that will power household robots — enabling them to understand their environment, plan long-horizon tasks, and act without human supervision. We are a French / Korean company and the creators of the very first autonomous data foundry built specifically for home environments.
You will work under the French headquarters — the R&D office.
The Role
You will join the technical team as the bridge between algorithmic R&D and the real robot. Your job: integrate internally developed modules and test them in real-world conditions.
Responsibilities
Software integration of R&D modules on the robot (perception, planning, control) Setting up and running data collection pipelines on the robot Writing test protocols and maintaining experiment logs Contributing to simulation environments to replicate real-world scenarios before robot deployment Participating in the design of evaluation benchmarks for new R&D modules Debugging, iterating and reporting results back to the research team Profile Hard Skills Strong command of Python and/or C++ Comfortable with mathematics (linear algebra, geometry, optimization) Comfortable with Linux and
command-line environments Bonus: experience with computer vision libraries (OpenCV, Open3D) Bonus: basic understanding of control theory or robot kinematics Bonus: experience with a physics simulator (MuJoCo, Isaac Sim, PyBullet) Soft Skills Curious and versatile
- at ease switching between different technical topics in the same day Proactive
- able to identify and raise issues without waiting to be asked Able to document work clearly in a small team environment Comfortable in a fast-moving, early-stage startup environment Bonus: interest in research Why this internship
Most robotics internships keep you in simulation. Here, you'll work on real robots in real home environments from day one. At Lili-O, R&D moves fast and your contributions ship directly onto the robot — no lengthy validation chains, no waiting. You'll see the impact of your work in the same week you write it.
This will be a dense, demanding internship — but you will learn an enormous amount in a very short time. You'll be exposed to the full stack of a cutting-edge robotics company, from low-level integration to research-grade evaluation. Depending on the project's progress, there may also be opportunities to travel to our Seoul office in South Korea.
What We Offer
Access to real robots in home environments from day one Direct mentorship from the founding team Paris, hybrid, can be adapted Duration: 6 months