AI Engineer for Robotic Multi-Agent Systems

Do you have a passion for Artificial Intelligence, robotics and creative projects such as video games? Do you like challenges? Then join our GoodAI team! Your focus will be on developing and controlling a simulated multi-agent system with the next step transferring to real hardware. You will also have an opportunity to work on a range of projects, from building prototypes and scaling up experiments in the research team, to end-to-end development of a new AI game.

How we imagine the ideal colleague

  • Test the developed algorithms, deploy them on a real HW and validate in the wild

  • Maintain the HW (UAVs)

  • Prototype and develop collective intelligence in simulation and in hardware

  • Contribute to the development of AI across projects (Badger, novel games, …) from an engineering perspective

  • Implement state-of-the-art AI algorithms

  • Develop and set up experiment infrastructure

  • Help to convert successful experimental ideas into stable, ambitious solutions


  • Experience with Robot Operating System (ROS), Gazebo

  • Experience with autonomy in Unmanned Aerial Vehicles (UAVs), mobile robotics

  • Experience with Simultaneous Localization and Mapping (SLAM) and its use for motion planning

  • Experience with edge computing

  • 3D path planning, obstacle avoidance

  • Advanced vision processing

  • Experience with robotics applications and a working knowledge of control theory

  • Experience with multi-agent learning and optimization algorithms (swarm, boids, etc.)

  • Excellent programming skills (C++, Python, etc) and ability to prototype fast

  • Ability to read and understand AI-related scientific papers

  • Willingness to learn new technologies

  • Responsible, strong organizational and time management skills

  • Friendly, curious, creative personality

  • Very good communication skills – in English (working in an international team)

Considered a plus

  • Experience with implementing multi-agent decision making in video games, including knowledge of existing game engines

  • Masters or PhD in Computer Science, Robotics, Cybernetics, AI, Engineering, Statistics, Mathematics, Operations Research or other relevant scientific field

  • Understanding and experience with AI and Machine Learning algorithms and methods with emphasis on modern deep learning frameworks (e.g. PyTorch, TensorFlow, …)

  • Experience with the development and operations of distributed systems

  • Good knowledge of the current AI landscape and its trends, with emphasis on collective learning and planning

  • Experience with  game-related AI techniques and concepts

  • Experience with Unity or Unreal Engine

  • Experience with back-end development and operations (cloud-based setup and deployment, monitoring, …)

  • Familiarity with game development

We offer

  • Great team!

  • Effective development & processes not delayed by bureaucracy

  • Work on a product with an ambition for being novel

  • Opportunity to make a significant impact

  • Healthy work-life balance and five weeks of paid holidays

  • Unlimited sick days (we trust our people)

  • Unique working environment – Oranzerie

  • Remote collaboration is the norm – take home office anytime you want or work from another country

  • Relocation package

  • Competitive compensation and a generous bonus model

  • Stock options

  • Family-friendly

  • Team socialization – games, parties, outdoor activities, trips. Bring your family members!

  • Talent development and long career rewards – time dedicated for study.

  • Company-paid online and offline education courses, books and magazines, participation at industry conferences and workshops

  • Studio cafeteria with free coffee and healthy fruit days

  • Regular company lunches and outside grills

Team Culture

  • Results-oriented: we measure ourselves only by our results

  • No limits: we can achieve anything; we are pushing our limits in technology and art

  • Integrity: we have the courage to do the right thing, regardless of the consequences and the inconvenience

  • Extreme ownership: It does not matter if you are a leader or an individual contributor. Every team member accepts accountability and equal responsibility for our collaborative effort.

  • Excellence in execution: Our teams aim for excellence in everything we do – we get what we tolerate

  • Simplicity in design: less is better; avoid feature creep; simplicity is the ultimate sophistication

  • Teamwork: we treat our colleagues with respect, supporting each other throughout to ensure we maximize the value for everyone while creating an atmosphere of trust

Start date: Q3 or upon agreement

Type: Full-time

Location: Prague, Czech Republic - Remote collaboration possible

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