Modelling and Simulation Engineer

Indra Group; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Hybrid work in Madrid

Global impact

Career growth

Mobility opportunities

Lifelong learning

Descripción de la vacante

Indra Space in Madrid is seeking a modelling and simulation engineer to advance spacecraft dynamics and data analysis. You will work on SSA optical data, apply mathematical methods, and build ML models for time series and physical systems within a hybrid Madrid setup.

The role requires solide background in orbital mechanics, statistics, and programming (Python/Java), with collaboration across multidisciplinary teams on high-impact space programs.

Formación

• Hands-on experience in orbital mechanics and spacecraft dynamics.
• Experience processing SSA optical sensor data.
• Strong background in applied mathematics and statistics.
• Hands-on ML experience for physical systems or time series.
• Proficient object-oriented programming (Python/Java).

Responsabilidades

• Develop modelling and simulation solutions for spacecraft dynamics and orbital mechanics.
• Process and analyze SSA optical sensor data.
• Apply mathematical and statistical methods to space-related problems.
• Design and implement machine learning models for physical systems and time series data.
• Work with satellite attitude and orbital dynamics models.
• Perform optical light curve analysis and apply optical physics and photometry concepts.
• Develop object-oriented software solutions using Python and Java.
• Use machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Conduct scientific computing and advanced data analysis.
• Collaborate with multidisciplinary teams to deliver high-quality technical solutions.

Conocimientos

Orbital mechanics

Spacecraft dynamics

SSA data processing

Applied mathematics

Statistics

Machine learning

Python

Java

Time series analysis

Team collaboration

Herramientas

PyTorch

TensorFlow

scikit-learn

Descripción del empleo

Modelling and Simulation Engineer

Madrid, MD, ES

Rol: T II

Modelling and Simulation Engineer – Madrid – Hybrid

Indra Space – Leading the Next Generation of Space Systems

At Indra Space, we are on a mission to redefine the European space industry by delivering high-performance small satellite solutions for LEO missions. Our ambition? To become a leading company in end-to-end satellite systems, driving innovation in:

Position, Navigation & Timing (PNT)
Secure Communications
Earth Observation & ISR
Space Domain Awareness (SDA) and Space Traffic Management (STM)
Science & space exploration

As the Space Business Unit of Indra Group, we combine cutting-edge technology with a full value chain approach—from satellite design and integration to ground segment and operations. With the integration of Deimos and strategic participation in Hispasat and Hisdesat, we are scaling Europe’s space autonomy and contributing to flagship programs like IRIS², Galileo, EGNOS, and Copernicus.

What will you do?

• Develop modelling and simulation solutions for spacecraft dynamics and orbital mechanics.
• Process and analyze SSA optical sensor data.
• Apply mathematical and statistical methods to space-related problems.
• Design and implement machine learning models for physical systems and time series data.
• Work with satellite attitude and orbital dynamics models.
• Perform optical light curve analysis and apply optical physics and photometry concepts.
• Develop object-oriented software solutions using Python and Java.
• Use machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Conduct scientific computing and advanced data analysis.
• Collaborate with multidisciplinary teams to deliver high-quality technical solutions.

What are we looking for?

• More than 3 years of experience in orbital mechanics and spacecraft dynamics.
• Experience in SSA optical sensors data processing.
• Strong background in applied mathematics and statistics.
• Hands-on experience with machine learning applied to physical systems or time series data.
• Solid knowledge of object-oriented programming.
• Understanding of satellite attitude and orbital dynamics.
• Familiarity with optical light curve analysis, optical physics, and photometry.
• Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn).
• Strong programming skills in Python and Java (3–4 years of experience).
• Experience with scientific computing and data analysis libraries.
• Availability to work in a hybrid model in Madrid.

Don’t worry if you don’t meet 100% of the requirements.

What we offer:

• Work Your Way: Flexible hours so you can balance life and work effortlessly.
• Open Culture: Direct communication and a friendly environment where your voice matters.
• Innovation at Its Core: Be part of groundbreaking projects with global impact.
• People First: A collaborative team that supports and celebrates your success.
• Career Acceleration: Continuous feedback and annual reviews to help you grow.
• Stability You Can Trust: Long-term projects in a leading company with a future vision.
• Global Reach: Your work will influence major international initiatives.
• Mobility Opportunities: Explore projects across Spain and beyond.
• Lifelong Learning: Access Open University programs and 3,000+ Udemy for Business courses.

Your next big opportunity is here. Ready to make an impact?

Profile review

• We evaluate your experience and skills to see if you fit what we’re looking for.
• First contact (5–10 min): If you get a call from an unknown number, it’s our team! A quick chat to get to know you and answer questions.
• Technical interview: Meet the team, learn about the project and daily tasks, and explore your technical knowledge. Brief psychological and English tests may be included.
• Offer and welcome: If all goes well, you join our team and start this new stage with us!

Estimated time: 1–2 weeks.

Our commitment:

We promote work environments where people are treated with respect and dignity, ensuring professional development and guaranteeing equal opportunities in selection, training, and promotion. We offer a workplace free from discrimination based on gender, age, disability, sexual orientation, gender identity or expression, religion, ethnicity, marital status, or any other personal or social circumstance.
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