Robotic Foundation Model Engineer (human)

NEURA Robotics; Germany (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

NEURA Robotics is seeking a skilled AI/ML engineer to advance cognitive robotics through the NeuraGym platform. You will drive end-to-end pipelines from data collection to deployment, collaborating with robotics, ML, and cloud teams.

The role requires hands-on robotics experience, strong Python/C++, and proficiency with PyTorch or TensorFlow; English and German language skills are valued. You will work with real robot hardware and various simulators in a dynamic environment.

Qualifications

• Master’s degree in Computer Science, Robotics, Electrical Engineering or related field.
• 3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest.
• Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow; comfortable working directly with real robot hardware and middleware.
• Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus.
• Proven problem-solving abilities and ability to handle multiple projects in parallel.
• Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level).

Responsibilities

• Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform.
• Training & Fine-tuning: take foundation models to production-ready robotic intelligence by executing the full NeuraGym pipeline.
• Hands-on robotics: collaborate with multidisciplinary teams to design, build, and optimize intelligent robotic systems.
• AI Consulting for NeuraGym Users: assess project feasibility and define data collection and training strategies.
• Customer Enablement & Support: onboard users, review training pipelines, troubleshoot model behavior and blockers.
• Cross-Functional Collaboration: liaise between Cloud and AI teams for alignment and problem-solving.
• Product & Research Feedback Loop: translate field experience into actionable roadmap feedback.

Skills

Machine learning in robotics

Python

C++

PyTorch

English proficiency

German proficiency

ROS

Education

Master’s degree in Computer Science, Robotics, Electrical Engineering or related field

Tools

IsaacSim

MuJoCo

ROS

Job description

Your mission & challenges

• Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform.

• Training & Fine-tuning: Take foundation models to production-ready robotic intelligence by executing the full NeuraGym pipeline — including teleoperation, data annotation, training, simulation, deployment, and validation — tailored to real-world robotics applications.

• Hands-on robotics: Collaborate closely with multidisciplinary engineering teams to design, build, and optimize next-generation intelligent robotic systems powered by AI.

• AI Consulting for NeuraGym Users: Act as a trusted technical advisor by assessing project feasibility, selecting suitable algorithms, and defining effective data collection and training strategies.

• Customer Enablement & Support: Guide and onboard users to NeuraGym by reviewing training pipelines and scripts, identifying data quality issues, troubleshooting model behavior, and providing hands‑on support to resolve persistent blockers.

• Cross-Functional Collaboration: Serve as a key interface between the Cloud and AI teams, ensuring smooth collaboration, technical alignment, and efficient problem-solving across domains.

• Product & Research Feedback Loop: Translate field experience and customer insights into actionable feedback for both the NeuraGym product roadmap and the Neura core AI roadmap.

What we can look forward to

• Master’s degree in Computer Science, Robotics, Electrical Engineering or related field.

• 3+ years hands‑on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest.

• Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow
  Comfortable working directly with real robot hardware and associated middleware.

• Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus.

• Proven problem-solving abilities and ability to handle multiple projects in parallel.

• Clear communicator who can translate between researchers, engineers and end‑users. You have a good command of English and German language (B2 - C1 level).