Job
You develop AI approaches for autonomous planning in military simulation environments, optimize them using Deep Reinforcement Learning, and lead technical projects together with your team.
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Your role in the team
- We develop military simulation environments for studies and research projects, which are used for analysis and AI training.
- Using deep learning approaches, we develop AI methods for autonomous planning and decision-making under uncertain conditions and in complex operational and military situations.
- We implement and test state-of-the-art deep reinforcement learning approaches for use in military environments, enabling our AI applications to be optimized safely, with minimal data usage, and reliably.
- We publish our groundbreaking results at international conferences (e.g., NATO STO Best Paper Award 2021).
- You will work in our agile research department on interesting study and research projects for the German Armed Forces, NATO, and the European Union in the field of security and defense.
- Technical leadership in the development and testing of AI approaches for autonomous planning and decision-making in a military context.
- Responsibility for delivering a study on time, within budget, and to the required quality standards, working with a small study team.
- Preparation and delivery of customer presentations and meetings.
- Design of software architectures and MLOps-driven development for AI training on modern container/Kubernetes environments and distributed systems (e.g., Ray).
- Design and development of a mission management system for drone swarm systems (UxV – Unmanned “x” Vehicles).
- Leading technical discussions with other specialist departments and project partners (industry, research institutes).
- Implement and optimize various deep reinforcement learning methods in conjunction with military simulations (C++ or Python).
- Technical bid management for a study/project (scope, timeline, costs).
- Practical implementation and testing in collaboration with other specialist departments as well as industrial and academic partners (universities, Fraunhofer Society).
Our expectations of you
Education
- Successfully completed degree (Diploma/Master’s) or PhD in computer science or engineering, with a specialization in artificial intelligence (AI) and/or simulation.
Qualifications
- Confident working with CI/CD environments such as GitHub/GitLab, PyCharm, Visual Studio, etc. (ideally on Windows and Linux).
- Willingness to travel nationally and internationally.
- Fluent in German and English.
Experience
- You have solid hands-on programming experience in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, RLlib/Ray), as well as single-agent and multi-agent systems.
- Initial experience in leading and planning missions for drone swarms is an advantage.
- Solid experience in simulation development / game engines with Python and/or C++ (or comparable technologies) would be an advantage.
- Ideally, you have solid hands-on experience in software engineering (including designing software architectures).
- Practical experience working with container/Kubernetes/Docker environments and distributed systems (e.g., Ray).
- You have solid experience in agile technical leadership of project teams; good knowledge of the ATLASSIAN tool stack (JIRA, Confluence) is an advantage.
What we offer
- Fair compensation & extras: Attractive compensation and individual benefits, such as company pension plans, mobility options (e.g. bicycle leasing), or employee discounts at partner companies, in accordance with our applicable policies.
- Time for yourself (and your loved ones): 30 days of annual leave in accordance with the collective agreement (35-hour workweek); work–life balance (flexitime, remote work, part-time work, job sharing, sabbatical).
- Make progress with ease: Excellent professional development opportunities and international career prospects across the group.
- Well-being at work: company doctor; comprehensive health and wellness program (fitness classes, preventive health services, and much more), canteen and cafeteria, on-site daycare center.
- Diversity brings us together: Work in a diverse environment with more than 140 nationalities, where exchange, support, and diversity are part of everyday life.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
Airbus is the world's leading provider of air and space transportation, as well as related services.
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Vehicle Manufacturing, Supplier · Industry, Production
Employer reviews
- Career growth
- 3.2
- Engineering
- 2.9
- Working conditions
- 4.0
- Team culture
- 3.5
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