Develop state machines, logic-based control architectures and supervisory control functions using Stateflow.
Perform system modelling, simulation, stability analysis and performance assessment.
Translate system requirements into mathematical models, control system architectures and executable simulations.
Conduct linear and nonlinear modelling, system identification, sensitivity analysis and parameter estimation.
Support model-based systems engineering (MBSE) activities and model-based development workflows.
Develop and execute simulation test cases to verify control system performance against technical requirements.
Perform model verification, validation and troubleshooting, identifying design issues and recommending corrective actions.
Support software-in-the-loop (SIL), processor-in-the-loop (PIL) and hardware-in-the-loop (HIL) testing where applicable.
Collaborate with systems engineers, software engineers, hardware teams and test engineers to ensure seamless integration of control solutions.
Produce technical documentation, modelling reports, design specifications and verification evidence.
Provide technical leadership, mentoring and guidance to junior engineers.
Contribute to design reviews, technical risk assessments and continuous engineering improvement activities.
Ensure engineering outputs comply with relevant aerospace and defence standards, safety requirements and quality processes.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Essential Skills and Experience
Modelling and Simulation
Strong practical experience with MATLAB, Simulink and Stateflow.
Proven experience developing complex dynamic system models and simulation environments.
Strong understanding of mathematical modelling, system dynamics and differential equations.
Experience with linear and nonlinear system modelling, simulation and performance analysis.
Ability to interpret system requirements and convert them into executable models.
Control Systems Engineering
Strong understanding of classical and modern control theory.
Experience designing and tuning feedback and feedforward control systems.
Knowledge of stability analysis, controllability, observability and system response analysis.
Experience with control system optimisation, parameter tuning and performance trade-offs.
Understanding of closed-loop control architectures and real-time control system behaviour.
Verification and Validation
Experience with model verification, validation and simulation-based testing.
Ability to develop test scenarios, assess model fidelity and investigate simulation results.
Familiarity with requirements traceability and verification evidence.
Experience with SIL, PIL or HIL environments would be advantageous.
Engineering Tools and Practices
Experience with version control and collaborative engineering workflows, such as Git or SVN.
Familiarity with requirements management tools such as IBM DOORS or equivalent.
Knowledge of model-based design and automated testing practices.
Experience with MATLAB toolboxes relevant to control design, such as Control System Toolbox and Simulink Control Design.
Desirable Skills
Experience within aerospace, defence, avionics, guidance, navigation and control (GNC), flight control or mission systems.
Familiarity with embedded control software development and real-time systems.
Knowledge of automatic code generation using Simulink Coder or Embedded Coder.
Experience with model-based systems engineering (MBSE) and tools such as SysML-based modelling environments.
Understanding of safety-critical engineering processes and standards, such as DO-178C, DO-331, ARP4754A or relevant defence engineering standards, where applicable.
Familiarity with requirements-based testing, configuration management and formal design reviews.
Experience working within multidisciplinary and regulated engineering environments.
Qualifications and Experience
Degree in Aerospace Engineering, Control Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Systems Engineering, or a related discipline.
Typically 5–10+ years of relevant engineering experience, with demonstrable expertise in modelling and control system development.
