Reinforcement Learning Engineer
Primary stack
Job description
About the Position
Reinforcement Learning Engineer
Gauting, Germany
Full-time
Permanent employee
Why Us?
You'll join a company where your work has visible impact from day one.
You'll work directly with world-class engineers, scientists, aerospace experts, and entrepreneurs building technologies that have never existed before.
Every day you'll collaborate with people who genuinely believe Europe can lead the next generation of autonomous intelligence.
We're not maintaining legacy systems.
We're creating the infrastructure future generations will depend on.
What We Offer
- Competitive compensation
- Relocation support
- Individual learning budget
- Modern aerospace campus with an on-site canteen and gym
- Free beverages
- Lunch support
- Tax-free employee benefits
- Flexible working hours
- Regular remote work
- 30 days of vacation
Your Mission
You will design and train RL models in a Multi-Agent System context. Your work will be deployed to constrained devices, working collaboratively in the sky and space.
Your Profile
- Education: Master's degree or PhD in Computer Science, Engineering, or a related field.
- Experience: 1-3 years of initial work experience.
- Skills:
- Proficiency in Python and first experience in Rust
- Proven experience adapting and deploying RL policies on edge or resource-constrained hardware across diverse customer environments; you will be working with a defined system, not building from scratch
- Deep experience integrating learned policies with real hardware constraints including sensors, actuators, and latency requirements
- Comfortable with fully on-device inference and decision-making without cloud dependency
- Excellent communication skills in English; German language skills are a plus.
Nice to Have
- Prior experience with collaborative Multi-Agent Systems
About Us
At NeuralAgent, we are building coordination and an AI-Operating layer at the edge that orchestrates autonomous systems and networks across space, air, ground, maritime, and underwater domains.
We believe the future will be powered by decentralized intelligence-where autonomous systems collaborate, make decisions, and adapt in real time wherever the mission takes place.
© NeuralAgent. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.