Robot Learning Research Engineer – f/m/x

Rosendahl Nextrom GmbH

Designing and implementing machine learning algorithms for humanoid and industrial robots at Rosendahl Nextrom. Working in a hybrid environment focusing on advanced robot perception and learning.

Posted 5/31/2026full-timePischelsdorf • 🇦🇹 AustriaMid-LevelSenior💰 €65,000 - €90,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots.
Work at the intersection of computer vision, reinforcement learning, imitation learning, and control systems.
Develop models that enable robots to understand the world and acquire new skills.
Develop and apply Vision Language Action (VLA) models, multimodal transformers, and large foundation models.
Research and implement state-of-the-art robot learning methods, including reinforcement learning (RL), imitation learning, policy optimization, and sim-to-real transfer.
Build scalable pipelines for robot data collection, sim-to-real transfer, and continual learning across digital twins and real-world deployment.

Requirements

What you’ll need

Master’s or PhD in Robotics, Computer Science, Machine Learning, or a related field.
Practical experience with real-time robotic controllers and hands-on work with robotic hardware.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
Experience with robotic platforms and simulators (MuJoCo, Isaac Sim, PyBullet, etc.).
Familiarity with ROS/ROS 2 and proficiency in Python and C++.
Strong problem-solving, analytical, and collaborative skills.
A valid work permit for Austria is required.
Relocation to Austria (Graz - Pischelsdorf Area).

Benefits

Comp & perks

This is a startup-like environment within a well-established global engineering company - ideal for engineers who want autonomy, innovation, and impact.
Opportunity to push the boundaries of robot learning research with real-world industrial impact.
Access to state-of-the-art humanoid robotic platforms and scalable high-performance computing resources.
Collaborative, interdisciplinary, and international environment.
Competitive salary, benefits, and relocation support.
Hybrid work possibilities.
Opportunity to work on a greenfield project with high visibility and executive support.
Collaborative and innovation-driven environment, backed by Rosendahl Nextrom’s global reach.
Access to internal and external training, conferences, and technical mentorship.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning algorithmscomputer visionreinforcement learningimitation learningcontrol systemsVision Language Action (VLA) modelsmultimodal transformerspolicy optimizationsim-to-real transferrobot learning methods

Soft Skills

problem-solvinganalytical skillscollaborative skills

Certifications

Master’s degreePhD