Physical AI Research Engineer

Rosendahl Nextrom GmbH

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

Posted 10/2/2026full-timePischelsdorf in der Steiermark • AustriaMid-LevelSenior💰 €65,000 - €96,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing machine learning algorithms for robotics, with proficiency in reinforcement learning, computer vision, and real-time robotic control systems. Capable of developing scalable data pipelines and applying advanced models for robot perception and decision-making.

Highest-signal resume keywords

Master’s Or PhD In RoboticsExperience With Real-Time Robotic ControllersHands-On Experience With ML FrameworksProficiency In Python And C++Familiarity With ROS/ROS 2

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning AlgorithmsReinforcement LearningImitation LearningPolicy OptimizationSim-To-Real TransferComputer VisionMultimodal TransformersVision Language Action ModelsRobotic Learning MethodsScalable Data Pipelines

Soft Skills

Problem-SolvingAnalytical SkillsCollaborative Skills

Tools & Technologies

PyTorchTensorFlowJAXMuJoCoIsaac SimPyBulletROS/ROS 2

Certifications & Qualifications

Valid Work Permit For Austria

Industry Keywords

RoboticsHumanoid RobotsDexterous ManipulationEmbedded SystemsEdge AI Deployment

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
Enable advanced robot perception, reasoning, and decision-making
Research and implement 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
Work at the intersection of computer vision, reinforcement learning, imitation learning, and control systems
Develop models that enable robots to perceive, learn, and act with human-like flexibility

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 such as MuJoCo, Isaac Sim, or PyBullet
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)
Nice to have: experience with humanoid robots or dexterous manipulation
Nice to have: familiarity with embedded systems and edge AI deployment
Nice to have: familiarity with tools for distributed and large-scale training

Benefits

Comp & perks

Startup-like environment within a well-established global engineering company
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