Training Engineer – Python & External Device Integration (human) at Neura Robotics (Metzingen, Germany / Riederich, Germany)
Neura Robotics· Metzingen, Germany / Riederich, Germany·
Role details
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
Summary
The Training Engineer delivers advanced Python training sessions and hands-on support for building applications with Neura robots and external devices. Responsibilities include creating training materials, setting up demos, and guiding users through programming workflows and device integration.
Job description
In this role, you will independently deliver programming-focused training sessions and support users in building real applications using Neura.py neura.py. You will guide trainees through hands-on programming workflows, external device integration, and demo setup, helping them move from basic usage to applied development.
You will contribute to the creation of structured training materials and support customers and internal users during practical sessions, ensuring they can confidently develop and test applications with Neura robots and connected devices.
YOUR MAIN TASKS INCLUDE
- Deliver and implementation of advanced Python training sessions, covering core concepts, scripting workflows, and best practices.
- Provide hands-on support and during programming trainings and practical exercises.
- Conduct external device training, including integration and usage of grippers, cameras, microphones, and related peripherals.
- Create and maintain Neura.py neura.py training documentation and materials, such as guides, examples, and exercises.
- Set up and maintain demo applications and training demos for programming and device integration use cases.
- Support trainees during application development, debugging, and testing.
- Update training content in alignment with product updates, Academy standards, and feedback from training sessions.
- Linux knowledge is needed
WHAT WE CAN LOOK FORWARD TO
- Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, Automation, or a related technical field, or equivalent practical experience.
- Practical experience with Python programming/ C++
- Experience integrating external devices such as grippers, cameras, or sensors.
- Basic understanding of robotic application workflows and debugging.
- Ability to explain programming concepts in a clear and structured manner.
- Good communication and presentation skills.
- A structured, solution-oriented mindset and confidence in hands-on technical support.
- Fluent in German and English.
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.