Logo Airbus Deutschland GmbH

Study Engineer - GenAI & Agentic AI

New

Job

  • Level
    Experienced
  • Location
    Immenstaad am Bodensee
  • Working Model
    Onsite
  • Job Field
    IT, Software, Security
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will lead the technical development and testing of AI-driven solutions for autonomous decision-making in military contexts, including the creation and implementation of innovative software architectures.

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 agent-based AI frameworks on modern container/Kubernetes environments and distributed systems.
  • Leading technical communication with other departments and project partners (industry, scientific institutes).
  • 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).

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Our expectations of you

Education

  • Successfully completed university studies (Diploma/Master) or a PhD in Computer Science or Engineering with a focus on Artificial Intelligence (AI) and/or Simulation.

Qualifications

  • 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 solid practical programming experience in Python and related as well as single- and multi-agent systems.
  • 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 personalized additional benefits, e.g., company pension schemes, mobility offers (e.g., bike leasing), or employee advantages with partner companies in accordance with our current policies.
  • 30 days of annual leave according to collective agreement (35h/week); work-life balance (flexible working hours, remote work, part-time, job sharing, sabbatical).
  • Excellent opportunities for further training and international, company-wide development prospects.
  • Company doctor; comprehensive health services (sports courses, prevention programs, and more), canteen and cafeteria, on-site childcare facility.
  • Working in a diverse environment with more than 140 nationalities, where exchange, support, and diversity are lived.

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Benefits

Work-Life-Integration

Health, Fitness & Fun

Food & Drink

Higher Take-Home Pay

Topics You Will Work On

Job Locations

  • Location Immenstaad am Bodensee

    88090 Baden-Württemberg

    Germany

About Your Employer

Airbus Deutschland GmbH

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

Employer reviews

by devworkplaces.com

Total

(1 Review)
3.3
  • Career Growth

    3.2
  • Engineering

    2.8
  • Workingconditions

    4.0
  • Culture

    3.5
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Logo Airbus Deutschland GmbH

Study Engineer - GenAI & Agentic AI

Location
Immenstaad am Bodensee
Working Model
Onsite
Diversity
Open for all genders

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