Control System Engineer Verified today
About the Role
The Exploration Company is developing the control application for throttleable rocket engines. You will join a team responsible for designing, implementing, testing, and validating the closed-loop control and operational logic that allows the engine to operate safely and accurately across its operating envelope.
As a Control System and Model-Based Design Engineer, you will help mature the engine control application from early simulation and control design through MIL/SIL/HIL validation and analysis of real test data. This role suits an intermediate engineer or strong junior with good control fundamentals and practical experience developing control functions for real-world systems.
Key Responsibilities
- Design, tune, implement, and validate closed-loop control functions for fluidic systems such as pressure, flow rate, pump speed, and valve position control.
- Develop Simulink functions for control logic, sequencing, state machines, mode management, enable logic, limiters, protections, diagnostics, and actuator command generation.
- Build and use control-oriented models, simulations, and test-data replay workflows to support design and validation.
- Analyze controller performance, stability, robustness, actuator saturation, sensor limitations, delays, nonlinearities, and operating envelope constraints.
- Implement practical control features such as PID, feedforward, filtering, gain scheduling, anti-windup, bumpless transfer, and mode-dependent control logic.
- Support MIL, SIL, HIL, and test-data analysis activities to verify the behaviour of the control application before deployment.
- Document design choices, assumptions, interfaces, validation results, limitations, and remaining risks.
- Work closely with propulsion, embedded software, electronics, test, modelling, and systems engineering teams.
What You Bring
- Engineering degree or equivalent experience in control systems, aerospace, electrical, mechanical, automotive, robotics, or a related field.
- Practical experience developing functions in MATLAB/Simulink.
- Good understanding of feedback control, system dynamics, stability, filtering, and controller tuning.
- Experience implementing and testing control or embedded application logic for a real physical system.
- Ability to analyze logs, simulation results, and test data to understand system behaviour and improve the design.
- Experience with state machines, mode logic, diagnostics, calibration, validation, or production-style Simulink models would be highly appreciated.
- Familiarity with state estimation, system identification, optimization or robust control would be a strong plus.
- Experience with MIL, SIL, HIL, automatic code generation, or embedded control workflows would be appreciated.
- Experience in automotive, aerospace, propulsion, robotics, energy, industrial automation, or another safety-critical dynamic system would be highly relevant.
