We integrate automation, AI and robotics to create security and defense solutions. Our focus is intelligent systems that combine embedded software, computer vision and edge-AI for autonomous platforms.We are looking for an engineer who wants to build and maintain simulation environments and containerized infrastructure. You will be responsible for ensuring that our systems can be tested, reproduced and deployed reliably - from a virtual world in Gazebo to a production-ready Docker image. This is
We integrate automation, AI and robotics to create security and defense solutions. Our focus is intelligent systems that combine embedded software, computer vision and edge-AI for autonomous platforms.
We are looking for an engineer who wants to build and maintain simulation environments and containerized infrastructure. You will be responsible for ensuring that our systems can be tested, reproduced and deployed reliably - from a virtual world in Gazebo to a production-ready Docker image. This is a hands-on role where your work directly affects product quality and speed of releases.
What you will do:
- Design and maintain simulation environments based on ROS 2, Gazebo and custom virtual worlds
- Create, optimize and maintain Docker images
- Integrate simulation pipelines with core product services via API and message-passing interfaces
- Develop and strengthen the existing simulation and containerization infrastructure
- Implement security best practices for containers: image scanning, minimum privileges, secret management
- Work with software, hardware and QA teams - so that the simulation corresponds to the real behavior of the system
- Write documentation, runbooks and integration guides
- Participate in code reviews and architectural discussions
Technical skills
Required:
- ROS / ROS 2 - basic understanding of topics, services, launch files
- Any simulation framework - Gazebo, Isaac Sim, Webots (at least at the launch and configuration level scenes)
- Docker - understanding how to collect images, run containers, basic Dockerfile
- Linux - confident work in the terminal, shell-scripting (Bash / Python)
- Git - work with branches, pull requests
- Basic understanding of API - REST or ROS topics/services
Will be a plus:
- Multi-stage Docker builds, image hardening, work with container registry
- CI/CD - GitHub Actions, GitLab CI, Jenkins
- Container orchestration - Kubernetes, Docker Swarm
- Hardware-in-the-loop (HIL) or Software-in-the-loop (SIL) testing
- Cloud environments - AWS, GCP, Azure (for cloud-based simulations)
- Python - automation, testing, scripting
- Experience in robotics, autonomous systems or defense domain
What we offer:
- work on real stand-alone systems
- Autonomy: technical freedom choose tools, propose solutions. Minimal bureaucracy
Unique domain:a rare expertise that immediately sets your aerospace/defense resume apart
Growth: mentorship from experienced engineers
Remote work: 100% remote, flexible schedule, core sync hours for communication
Education: courses and certifications at the expense of the company
Command: you work next to engineers solving problems at the interface of edgeAI, computer vision and realtime robotics
Mission:direct contribution to the defense capability of Ukraine and the security of Europe
If this is about you, don't wait, write to us today. We look forward to meeting you:)