GNC/AOCS Engineer

Indra Group

. Contribute to guidance, navigation, control, autonomy, and FDIR functions throughout the full engineering lifecycle, from mission analysis and system definition to implementation, verification, validation, and operational support .

Posted 10/8/2026full-timeHarwell Oxford • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Guidance, Navigation, and Control (GNC) and Fault Detection, Isolation, and Recovery (FDIR) solutions, with a strong foundation in model-based engineering and dynamic system simulation. Proficient in programming with MATLAB, Simulink, Python, and C, and experienced in supporting European space programmes.

Highest-signal resume keywords

GNC/AOCS Algorithm DevelopmentModel-Based Systems Engineering (MBSE)MATLAB and Simulink ProficiencyAerospace Engineering DegreeFault Detection, Isolation, and Recovery (FDIR)

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Applicant Tracking System Keywords

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Hard Skills

GNC/AOCS Solutions DevelopmentDynamic Systems SimulationControl TechniquesProgramming in PythonProgramming in CModel-Based GNC SolutionsRequirements DefinitionVerification and ValidationSensor and Actuator AnalysisFlight Operations Support

Soft Skills

Technical CoordinationLeadershipProblem-SolvingCollaborationRapid Learning

Certifications & Qualifications

MSc or PhD in EngineeringTeaching Experience in Aerospace Engineering

Industry Keywords

Earth ObservationActive Debris Removal (ADR)In-Orbit Servicing (IOS)European Space ProgrammesAtmospheric Flight DynamicsOrbital MechanicsMultivariable Robust Control

Tech Stack

Tools & technologies

iOSPython

About the role

Key responsibilities & impact

Contribute to guidance, navigation, control, autonomy, and FDIR functions throughout the full engineering lifecycle, from mission analysis and system definition to implementation, verification, validation, and operational support
Specify, design, implement, verify, and validate AOCS/GNC and FDIR algorithms for Earth observation, ADR/IOS, and other space missions
Develop and implement model-based GNC/AOCS solutions
Design, implement, and test mission simulators and dynamic system models
Specify, analyse, and trade off GNC/AOCS hardware solutions, including sensors and actuators
Support system engineering activities, including requirements definition, interface management, and coordination with multidisciplinary teams
Verify and validate GNC/AOCS solutions through analysis, simulation, and testing
Provide technical coordination and leadership of assigned activities
Support cutting-edge European space programmes in Active Debris Removal (ADR) and In-Orbit Servicing (IOS)

Requirements

What you’ll need

A recognised degree in Engineering (Mechanical, Aerospace, Electrical, Electronic) or a related discipline such as Physics or Mathematics
Minimum of four years' experience applying relevant engineering principles within the domains associated with the role (relevant MSc or PhD qualifications will also be considered)
Knowledge of the control and simulation of dynamic systems
Practical experience developing aeronautical or aerospace GNC/AOCS and FDIR solutions, with experience on ESA or other European programmes considered advantageous
Ability to rapidly understand new concepts and apply them to complex engineering challenges
Programming capability
Experience using MATLAB and Simulink
Postgraduate qualifications (MSc or PhD) or teaching experience in aeronautical or aerospace engineering, providing a strong foundation in at least two of the following areas: orbital mechanics and atmospheric flight dynamics; FDIR design, implementation and validation; classical and robust control techniques, including fixed-structure H∞ synthesis, μ-analysis and LPV control; flight operations; Model-Based Systems Engineering (MBSE)
Experience supporting flight operations within ESA or other European aerospace programmes
Experience in atmospheric flight applications
Strong theoretical understanding of GNC/AOCS principles and methodologies
Knowledge of multivariable robust control techniques
Programming experience in Python and C

Benefits

Comp & perks

Pension
Hybrid working - typically 3 days in the office
40 hours/week - Monday - Friday
36 days holiday (including bank holidays)