Job
In this role, you will develop AI-driven solutions for autonomous decision-making in military contexts, lead technical teams, design software architectures, and implement deep reinforcement learning in simulated environments.
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Job technologies
Your role in the team
- Technical management in the development and testing of AI approaches for autonomous planning and decision-making in a military environment.
- Responsibility for the implementation of a study with a small study team in terms of time, cost, and quality.
- Preparation and conduct of client presentations and meetings.
- Development of software architectures as well as MLOps-driven development for AI training on modern container/Kubernetes environments and distribution systems (e.g., Ray).
- Design and development of a mission management system for drone swarm systems (UxV - Unmanned 'x' Vehicles).
- Leading technical communication with other departments and project partners (industry, scientific institutes).
- Implement and optimize various Deep Reinforcement Learning methods in conjunction with military simulations (C++ or Python).
- Technical proposal management for a study/project (scope, time, costs).
- Practical implementation and testing in collaboration with other departments as well as industrial and scientific partners (universities, Fraunhofer Society).
Our expectations of you
Education
- Successfully completed university studies (Diploma/Master) or a doctorate in Computer Science or Engineering with a focus on Artificial Intelligence (AI) and/or Simulation.
Qualifications
- Knowledge of core libraries such as Qt for GUI is an advantage.
- Proficient in CI/CD environments such as GitHub/GitLab, PyCharm, Visual Studio, etc. (preferably on Windows and Linux).
- Willingness to travel nationally and internationally.
- Fluent in German and English.
Experience
- You have good practical programming experience in Python and relevant libraries.
- Solid experience in simulation development / game engines with Python and/or C++ (or comparable) would be advantageous.
- Ideally, you have solid practical experience in software engineering (including the development of software architectures).
- Practical experience 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 toolstack (JIRA, Confluence) is an advantage.
What we offer
- Attractive compensation and special payments.
- 30 days of vacation and additional days off for special occasions.
- Excellent opportunities for further training and great international, company-wide development prospects.
- Special benefits: employer-funded retirement plans, employee stock options, discounted car leasing, special insurance rates, subsidies for public transportation, employee perks with partner companies.
- On-site facilities: nearby kindergarten, doctor for check-ups and other health-related services, canteen and cafeteria with lake view.
- Company sports groups and leisure activities such as sailing, tennis, and winter sports.
- Work-life balance (job sharing, part-time models, flexible working hours, individual time off).
- Working in a diverse environment with more than 140 nationalities, where every voice is heard.
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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