Robotic Foundation Model Engineer Intern (Human)

Neura Robotics; Gemeindeverwaltungsverband Metzingen, Riederich; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Neura Robotics is seeking a skilled researcher/developer to advance cognitive robotics applications using Physical AI and the NeuraGym platform. You will train and fine-tune cutting-edge models, manage the full post-training loop, and work with robotics teams to deploy reliable AI-powered systems.

You will guide customers, review pipelines, and help translate field insights into product and research roadmaps, while collaborating closely with Cloud and AI teams to ensure robust delivery.

Qualifikationen

• Master’s degree in Computer Science, Robotics, Electrical Engineering or related field.
• Hands-on ML in robotics with vision-based manipulation or RL/imitation learning.
• Experience fine-tuning large pretrained models for robotics (PEFT/LoRA), dataset curation, distillation and evaluation.
• Solid Python skills; C++ is a plus; practical experience with PyTorch or TensorFlow.
• Cloud experience and robotics simulation tools (IsaacSim, MuJoCo) are a plus.
• Strong problem-solving and ability to manage multiple projects.

Aufgaben

• Drive development of cognitive robotics applications through Physical AI and NeuraGym platform.
• Train and fine-tune foundation models to production-ready robotic intelligence across telemetry, data annotation, training, simulation, deployment and validation.
• Collaborate with engineering teams to design, build and optimize intelligent robotic systems powered by AI.
• Onboard users to NeuraGym, review training pipelines, troubleshoot data quality issues and provide hands-on support.
• Facilitate cross-functional collaboration between Cloud and AI teams for alignment and rapid problem-solving.
• Translate field experience into actionable feedback for NeuraGym product roadmap and Neura core AI roadmap.

Kenntnisse

Python

C++

Machine learning in robotics

English & German (B2-C1)

Ausbildung

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

Tools

PyTorch

TensorFlow

MuJoCo

IsaacSim

LoRA/PEFT

Jobbeschreibung

Your mission & challenges

• Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform.
• Training & Fine-tuning cutting-edge models: 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. Define the data strategy that makes a fine-tune work and own the full post-training loop inlcuding hyperparamter interation, data mixture, LoRA and a honest evaluation.
• Hands-on robotics: Collaborate closely with multidisciplinary engineering teams to design, build, and optimize next-generation intelligent robotic systems powered by AI.
• 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
• 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
• Demonstrable experience fine-tuning large pretrained models for robotics or another domain: PEFT/LoRA and full fine-tunes, dataset curation, distillation, and evaluation. Familiarity with the open VLA and policy-learning ecosystem (e.g. π0/π0.5, OpenVLA, LeRobot, diffusion policies) is a strong plus
• 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
• Strong bias toward execution and a high level of personal commitment: you take deployments personally, work through setbacks, and measure yourself by what runs at the customer
• Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)