Reinforcement Learning Engineer

NeuralAgent; Gauting; Remote; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Relocation support

Learning budget

Canteen & gym on aerospace campus

Free beverages

Lunch support

Tax-free employee benefits

Flexible working hours

Regular remote work

30 days vacation

Job summary

NeuralAgent is seeking a talented researcher/software engineer to design and train reinforcement learning models in a Multi-Agent System context for edge devices used in sky and space applications.

You will deploy policies to constrained hardware, collaborating with world-class engineers and aerospace experts to deliver autonomous coordination across space, air, ground and maritime domains. Excellent English communication required; German a plus.

Qualifications

• Master's or PhD in Computer Science, Engineering or related field.
• Initial work experience.
• Proficiency in Python and Rust.
• Experience deploying RL policies on edge or resource-constrained hardware.
• Deep experience integrating learned policies with hardware constraints (sensors, actuators, latency).
• Comfortable with on-device inference and decision-making without cloud dependency.
• Excellent English; German language skills are a plus.

Responsibilities

• Design and train RL models in a Multi-Agent System context.
• Deploy RL models to constrained devices in sky/space environments.
• Collaborate with world-class engineers, scientists and aerospace experts.
• Ensure coordination across space, air, ground and maritime domains.

Skills

Python

Rust

RL (reinforcement learning)

Edge computing

On-device inference

English communication

German (nice to have)

Education

Master's or PhD in CS/Engineering

Job description

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

Join Us

If you're ready to build technology that could shape Europe for decades to come, we'd love to meet you

Your mission

You will design and train RL models in Multi Agent System context. Your work will be deployed to constrained devices, working collaboratively in the sky and space.

Your profile

• Master's degree or PhD in Computer Science, Engineering or a related field.
• Initial work experience.
• 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 to collaborative Multi Agent Systems

About Us

At NeuralAgent, we are building coordination and AI-Operating layer at edge that orchestrates the 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.