Robot Learning Lead: Edge-to-Cloud Policies, Equity

Embodied AI; Vaud; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Equity

On-site Lausanne office

Job summary

Embodied AI in Lausanne is seeking a senior robotics ML engineer to own the learning stack for our robot fleet, from data collection to policy deployment on edge devices and in the cloud. You will drive technical direction and ensure policies work on the factory floor, not just in the lab.

You will collaborate with AI, hardware and field teams, ship production-ready policies, and shape how our robots learn in real-world industrial settings.

Qualifications

• 5+ years in robot learning with policies running on real robots.
• Hands-on experience in imitation learning for manipulation.
• Experience deploying models on edge and cloud compute.

Responsibilities

• Own the learning stack end to end: data collection, training, evaluation and deployment of policies to our robot fleet.
• Own its integration into the fleet, across edge and cloud.
• Decide what to learn and what to engineer, and choose approaches that meet the customer's target.
• Collaborate with the AI, hardware and field teams, including on customer sites.

Skills

Robot learning

Imitation learning

Edge deployment

Policy deployment

Tools

Docker

ROS 2

NVIDIA Isaac

NVIDIA Jetson

Job description

Embodied AI in Lausanne is seeking a senior robotics ML engineer to own the learning stack for our robot fleet, from data collection to policy deployment on edge devices and in the cloud. You will drive technical direction and ensure policies work on the factory floor, not just in the lab.

You will collaborate with AI, hardware and field teams, ship production-ready policies, and shape how our robots learn in real-world industrial settings.