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System engineer (d/f/m) - flight management systems for uav

Adelschlag
E Airbus Defence and Space GmbH
System Ingenieur
Inserat online seit: Veröffentlicht vor 12 Std.
Beschreibung

**Job Description:**

* In order to support our Team in the area of unmanned aircraft (UAV), Airbus Defence and Space is looking for a *

**System Engineer "Flight Management Systems" (d/f/m)**

**Your location**

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

**Your benefits**

* Attractive salary and special payments

* 30 days paid vacation and extra days-off for special occasions

* Excellent upskilling opportunities and great international, group wide development prospects

* Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies

* On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site

* Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)

* Working in a diverse environment, with more than 140 nationalities, where every voice is heard



**Your tasks and responsibilities**


* Define Flight Management Systems architecture and interfaces

* Develop and adapt novel AI and Machine Learning algorithms for flight planning, flight guidance and control tasks.

* Support technology maturation up to flight demonstrations.

* Document work for internal communication and external presentation at conferences.

* Actively search for uses cases and new applications of the developed technology within the team and company.




The role has a large number of interfaces to e.g. other aircraft system teams, laboratory and flight test teams, aircraft programs & support teams. This requires ability to work as part of large transnational teams, flexibility, technical know-how, ability to persuade & influence.

**Desired skills and qualifications**

* A degree in Aerospace Engineering or similar

* Experience with Machine Learning used for planning/guidance/control of dynamical systems

* Systems-oriented thinking

* Strong coding skills in Python (Numpy, Torch, Tensorflow), Linux (vim, bash). (C/C++/Fortran would be a benefit)

* Can-do attitude

* Excitement & curiosity & openness to new technologies and their applications

* Experience with development in low and mid-TRLs

* High degree of motivation and willingness to work in an international team

* Language skills: English



* Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. *

* Take your career to a new level and apply online now! *

#LI-LD1

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

****Company:****
Airbus Defence and Space GmbH

*Employment Type:*
Permanent
-------

*Experience Level:*
Entry Level

*Job Family:*
Vehicle Mission & Control

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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