About the Job:
Our mission
is to develop intelligent, adaptable robotic systems that seamlessly integrate into production, combining advanced AI research with practical robotics to enable robots to perceive, learn, and act with human-like flexibility. As this is a strategic new direction, you will help shape both the technology and the business models that define the future of smart manufacturing.
As a
Robot Learning Research Engineer
, you will design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots. Your work spans computer vision, reinforcement and imitation learning, and control systems—developing models that let robots understand their environment and acquire new skills.
Responsibilities
* Develop and apply Vision Language Action (VLA) models, multimodal transformers, and large foundation models to enable advanced robot perception, reasoning, and decision-making.
* 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, simulation-to-reality transfer, and continual learning across digital twins and real-world deployment.
* Integrate algorithms with motion planning, sensor fusion, and SLAM to enable robust humanoid autonomy.
About you
Requirements:
* 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.
* EU Citizenship and residence in Austria (Graz - Pischelsdorf Area)
Nice to have qualifications:
* Experience working with humanoid robots, bipedal locomotion, or dexterous manipulation.
* Familiarity with embedded systems and edge AI deployment.
* Familiarity with tools for distributed and large-scale training.
Our Offer to you:
* 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.
* Flexible working hours and hybrid/remote 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