Robotic Foundation Model Engineer Intern (Human) at Neura Robotics (Metzingen / Riederich)
Neura Robotics· Metzingen / Riederich·
Role details
Work type
Onsite
Employment
Full-Time
Neura Robotics at a glance
German cognitive-robotics company building humanoid and collaborative robots that see, hear, feel, and learn to work alongside people.
NEURA Robotics designs cognitive robots (humanoids, collaborative arms, and mobile bases) plus the AI and platform that run them, all built in-house. Its flagship 4NE1 humanoid targets industrial workflows and everyday assistance, and the Neuraverse platform links deployed robots into a shared learning network.
~$1.7B+ raised · latest: Series C · up to $1.4B · June 2026 · backed by Tether, Amazon, NVIDIA, Qualcomm
Job description
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)
Why work at Neura Robotics
- Culture: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything).
- Flexibility: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment.
- Team: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts.
- Growth & Development: Support for personal and professional growth via Udemy training platform and more.
- Compensation: Competitive salary package with exclusive employee discounts.
- Perks: Summer parties, company town hall meetings, and regular team celebrations.
- Impact: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact.
- Diversity: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world.
- Application Process: Fast — initial feedback within a few days, interviews scheduled within two weeks.