Robotic Foundation Model Engineer (human)

Neura Robotics

Gemeindeverwaltungsverband Metzingen

On-site

EUR 70,000 - 110,000

Full time

14 days+

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Job summary

Neura Robotics seeks a skilled ML engineer to advance cognitive robotics applications using Physical AI and the NeuraGym platform. You will train and deploy foundation models for robotic intelligence, collaborating with multidisciplinary teams to optimize systems and validate performance.

You will guide customers, define data collection/training strategies, and ensure smooth adoption, using strong Python skills and a blend of AI/robotics expertise.

Qualifications

  • Master’s degree in Computer Science, Robotics, Electrical Engineering or related field.
  • 3+ years hands-on machine-learning experience in robotics with core strengths in vision-based manipulation, reinforcement/imitation learning, or multimodal models.
  • Strong Python skills; C++ a plus; experience with PyTorch or TensorFlow.
  • Cloud experience (AWS, Azure, or GCP) and robotics simulators (IsaacSim, MuJoCo) are a plus.
  • Proven problem-solving abilities and ability to manage multiple projects.
  • Good English and German communication (B2-C1).

Responsibilities

  • Lead development of cognitive robotics applications via Physical AI and NeuraGym platform.
  • Train and fine-tune foundation models for robotic intelligence end-to-end.
  • Collaborate with engineering teams to design and optimize intelligent robotic systems.
  • Act as trusted advisor for NeuraGym projects, defining data collection and training strategies.
  • Guide users and provide hands-on support to resolve blockers and enable adoption.

Skills

ML in robotics
Python programming
English/German communication
C++ (plus)

Education

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

Tools

PyTorch
TensorFlow
IsaacSim
MuJoCo

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)

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