About the role
About EASE
EASE builds active, AI-powered exoskeletons for logistics and manufacturing. As a TUM spin-off, we have just started series production, and paid pilots with well-known logistics companies have led to first purchase orders. Our goal: move every parcel better, manually with an exoskeleton or autonomously with a robot.
The role
Our exoskeletons are deployed in real warehouses and production plants and capture what video-only datasets miss: body pose, joint kinematics, interaction torques, vision, and hand forces from real human work. Your job is to build pipelines that turn raw exoskeleton recordings into clean, robot-ready training data, including retargeting human motion to the humanoid’s body. So in the future human workers and robots can work side by side on the same tasks.
What you'll do
Define signals, formats and metadata for our next exoskeleton generation
Build pipelines from devices in the field to storage, incl. sync, calibration and versioning
Build tooling for quality checks, segmentation, annotation and dataset export
Implement anonymization, consent handling and GDPR-compliant data flows
Set up storage and compute together with our robot learning team
What you bring
Degree in CS, data engineering, robotics or similar, with hands-on pipeline experience
Strong Python and SQL; pipeline tools (e.g. Airflow, Ray or Spark)
Time-series or multimodal sensor data, incl. synchronization and calibration
Cloud (AWS, GCP or Azure), Docker and Linux
Solid understanding of GDPR and personal data
Nice to have
ROS 2, MCAP or LeRobot; annotation or dataset management tools
Kubernetes or SLURM; basic ML training workflows in PyTorch
Don't tick every box? Apply anyway. What you have built matters more than a perfect match.
What we offer
Data almost nobody else has, from a product in series deployment
The chance to build our data platform from the ground up
Competitive salary plus virtual stock options (VSOP)
Flexible hours, hybrid in Munich, mobility benefit
Budget for conferences and further training
How to apply
Send your CV with links to GitHub or projects you are proud of.
Martin Fleischer, CEO & Co-Founder
EASE is an equal opportunity employer. Applicants need a valid work permit for the EU.
Find more English Speaking Jobs in Germany on Arbeitnow
EASE builds active, AI-powered exoskeletons for logistics and manufacturing. As a TUM spin-off, we have just started series production, and paid pilots with well-known logistics companies have led to first purchase orders. Our goal: move every parcel better, manually with an exoskeleton or autonomously with a robot.
The role
Our exoskeletons are deployed in real warehouses and production plants and capture what video-only datasets miss: body pose, joint kinematics, interaction torques, vision, and hand forces from real human work. Your job is to build pipelines that turn raw exoskeleton recordings into clean, robot-ready training data, including retargeting human motion to the humanoid’s body. So in the future human workers and robots can work side by side on the same tasks.
What you'll do
Define signals, formats and metadata for our next exoskeleton generation
Build pipelines from devices in the field to storage, incl. sync, calibration and versioning
Build tooling for quality checks, segmentation, annotation and dataset export
Implement anonymization, consent handling and GDPR-compliant data flows
Set up storage and compute together with our robot learning team
What you bring
Degree in CS, data engineering, robotics or similar, with hands-on pipeline experience
Strong Python and SQL; pipeline tools (e.g. Airflow, Ray or Spark)
Time-series or multimodal sensor data, incl. synchronization and calibration
Cloud (AWS, GCP or Azure), Docker and Linux
Solid understanding of GDPR and personal data
Nice to have
ROS 2, MCAP or LeRobot; annotation or dataset management tools
Kubernetes or SLURM; basic ML training workflows in PyTorch
Don't tick every box? Apply anyway. What you have built matters more than a perfect match.
What we offer
Data almost nobody else has, from a product in series deployment
The chance to build our data platform from the ground up
Competitive salary plus virtual stock options (VSOP)
Flexible hours, hybrid in Munich, mobility benefit
Budget for conferences and further training
How to apply
Send your CV with links to GitHub or projects you are proud of.
Martin Fleischer, CEO & Co-Founder
EASE is an equal opportunity employer. Applicants need a valid work permit for the EU.
Find more English Speaking Jobs in Germany on Arbeitnow
Requirements
- Data Processing
- Data Engineer