
Aerospace company.
Multi Disciplinary Analysis and Optimization Engineer for Flight Physics Capabilities
Job Description:
Imagine the next generation of multi-disciplinary capabilities needed to design the aircraft of tomorrow.
We are a collaborative, international team at Airbus, dedicated to simplifying the complex work of our aeronautical engineers. We create modern applications that are essential to speed-up and improve the design process needed for the aircraft of tomorrow.
As a developer in our Flight Physics team, you won’t just be developing capabilities. You’ll be an integral part of a community that's shaping the future of aviation. You will work alongside senior developers and domain experts, solving real-world challenges for engineers across Europe, India, and Canada.
What You'll Work On
In this role, you will help us build a better, more efficient aircraft design ecosystem. You'll have the opportunity to:
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Contribute in developing Multidisciplinary Design Optimization (MDAO) capabilities and demonstrate its readiness in solving design problems in the Overall Aircraft Design perimeters, with specific attention on Aerodynamics, loads, mass properties, handling qualities or aircraft performance.
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Collaborate with end-users, designers, and fellow developers in an agile team to solve complex multi-disciplinary problems and deliver valuable features.
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Drive a cultural shift toward Design-First engineering, utilizing Systems Thinking to ensure our capabilities are solving the right problems with the right constraints from day one.
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Learn and grow, supported by our expert community and a team that is invested in your development.
Our Tech Stack Includes: High-Performance Computing, Large-scale data storage, AWS Cloud | Python | Git |
What You'll Bring
We're looking for someone who is passionate about optimisation techniques for aircraft design and enjoys working in a team. Your background might look something like this:
Core Skills & Experience:
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Diploma or 3 years of experience in developing capabilities for mono- or multidisciplinary optimisations for Overall Aircraft Design with high-fidelity methods
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Mastering the end-to-end 3D aerodynamic simulation process from shape parameterization, simulation execution with Reynolds-Averaged Navier-Stokes simulations to post-processing
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Familiarity with MDAO environments such as GEMSEO, open
MDAO or model Center:
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Proficiency in Design of Experiment, Gradient-based and Gradient-free optimization techniques to evaluate design trade-offs
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Advanced surrogate modeling techniques
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Good knowledge on Overall Aircraft Design with understanding of aircraft sizing, weight estimation, and performance constraints.
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Proficiency in Python.
We'd love it if you have experience with any of the following:
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Process automation of complex high-fidelity simulations in aerodynamics, aero-elasticity or handling-qualities
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Experience managing large-scale simulations on High-Performance Computers or Clouds, including job scheduling and parallel processing optimization.
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Artificial Intelligence for solving large scale engineering design problems
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Adjoint approach for efficient gradient computations
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Dimension reduction techniques
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Uncertainty management and robust optimisation
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System Engineering and Model-Based System Engineering Who You Are:
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You are empathetic and enjoy connecting with people to understand their challenges and build solutions they love.
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You thrive in a team environment, building supportive and positive relationships with your colleagues.
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You can clearly explain complex ideas to different audiences.
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You are curious and creative, always looking for better ways to solve problems.
Your Potential Matters More Than Your CV
We know that talent comes from a variety of backgrounds, and we're more interested in your potential than a perfect skills match. We're looking for a motivated and curious individual who is eager to learn. We provide extensive on-the-job training and mentorship to help you develop the skills needed to succeed in this role. If this sounds like you, please apply!
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 Operations SAS:
Employment Type:
Permanent
Classe Emploi (France): Classe F12
Experience Level:
Professional
Job Family:
Flight & Space Physics:
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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Airbus 소개

Airbus
PublicAirbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.
10,001+
직원 수
Leiden
본사 위치
$89B
기업 가치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
3.2
보상
4.0
문화
4.1
커리어
3.5
경영진
3.8
72%
지인 추천률
장점
Learning opportunities and professional development
Supportive team and collaborative environment
Good compensation and benefits
단점
High pressure and performance expectations
Long hours and overwhelming workload
Bureaucratic and rigid structure
연봉 정보
43개 데이터
Junior/L3
L2
L6
L3
L4
L5
Junior/L3 · Data Analyst
0개 리포트
$17,436
총 연봉
기본급
-
주식
-
보너스
-
$14,820
$20,052
면접 후기
후기 4개
난이도
3.0
/ 5
소요 기간
14-28주
합격률
25%
경험
긍정 25%
보통 75%
부정 0%
면접 과정
1
Application Review
2
HR Screen
3
Technical/Hiring Manager Interview
4
Panel Interview
5
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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