Physical AI Research Engineer

Building on our long-standing expertise in advanced production technologies, Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robots—an advancement that will transform industrial automation, manufacturing, logistics, and beyond.

Our mission is to create intelligent, adaptable robotic systems that seamlessly integrate into real-world production environments, combining cutting-edge 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 have the opportunity to shape not only the technology but also the business models that will define the future of smart manufacturing.

Tasks

As a Robot Learning Research Engineer, you will design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots. You will work at the intersection of computer vision, reinforcement learning, imitation learning, and control systems, developing models that enable robots to understand the world 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, sim-to-real transfer, and continual learning across digital twins and real-world deployment.

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.
• A valid work permit for Austria is required.
• Relocation to Austria (Graz - Pischelsdorf Area).

Nice to have qualifications:

• Experience working with humanoid robots or dexterous manipulation.
• Familiarity with embedded systems and edge AI deployment.
• Familiarity with tools for distributed and large-scale training.

Benefits

• 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

We are prepared to pay above the standard rate and will determine your salary together with you. The collective agreement for the Austrian metalworking industry serves as a basis, with a minimum gross salary of €4.492,58 per month for full-time employment on all-inclusive basis.

Fits for you? We are looking forward to hearing from you! https://rosendahlnextrom.com/rn-ai-robotics/