Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Friedrichshafen
- Working Model
- Onsite
Job Summary
In this role, you lead the development of AI-driven systems for autonomous military decision-making, focus on software architecture, and implement Deep Reinforcement Learning in simulations.
Job Technologies
Your role in the team
- Technical leadership 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 within time, budget, and quality.
- Preparation and execution of client presentations and meetings.
- Development of software architectures as well as 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 exchanges 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 cooperation with other departments as well as industrial and scientific partners (universities, Fraunhofer Society).
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Our expectations of you
Education
- Successfully completed university studies (diploma/master's) 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 handling of 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 solid 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.
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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.
- Additional benefits: employer-funded retirement plan, employee stock options, discounted car leasing, special rates for insurance, 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 leave).
- Working in a diverse environment with over 140 nationalities, where every voice is heard.
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Benefits
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Job Locations
This is your employer
Airbus Deutschland GmbH
Airbus is the world's leading provider of air and space transportation, as well as related services.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5
System Engineer Modeling & Simulation
- Location
- Friedrichshafen
- Working Model
- Onsite
- Diversity
- Open for all genders
