Physical AI Research Engineer

Rosendahl Nextrom GmbH

. Design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots .

Posted 10/14/2026full-timePischelsdorf in der Steiermark • AustriaMid-LevelSenior💰 €65,000 - €96,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing machine learning algorithms for robotics, with proficiency in real-time robotic controllers and hands-on experience with robotic hardware. Strong capabilities in developing Vision Language Action models and familiarity with robotic platforms and simulators are essential.

Highest-signal resume keywords

Machine Learning AlgorithmsVision Language Action ModelsRobotic Platforms and SimulatorsPython and C++ ProficiencyReal-Time Robotic Controllers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningReinforcement LearningImitation LearningPolicy OptimizationSim-to-Real TransferPythonC++Robotic ControllersVision Language ActionMultimodal Transformers

Soft Skills

Problem-SolvingAnalytical SkillsCollaboration

Tools & Technologies

PyTorchTensorFlowJAXMuJoCoIsaac SimPyBulletROSROS 2Embedded SystemsEdge AI Deployment

Certifications & Qualifications

Master’s or PhD in RoboticsComputer ScienceMachine Learning

Industry Keywords

Humanoid RobotsDexterous ManipulationDigital TwinsContinual LearningLarge-Scale Training

Tech Stack

Tools & technologies

PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots
Develop and apply Vision Language Action (VLA) models, multimodal transformers, and large foundation models for robot perception, reasoning, and decision-making
Research and implement state-of-the-art robot learning methods, including reinforcement learning, 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
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)
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

Comp & perks

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