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About the Role
This role is responsible for developing and advancing control and signal processing solutions for Fibre Optic Gyroscopes (FOG). The engineer will improve sensor performance, robustness, and reliability through modelling, algorithm development, and experimental validation, focusing on optimizing closed-loop control and digital signal processing for enhanced FOG performance, stability, and dynamic response. The role also involves translating system requirements into algorithm designs and specifications for FPGA implementation.
Responsibilities
- Develop and optimize closed-loop control and digital signal processing algorithms, including signal acquisition and timing, to meet FOG performance requirements.
- Develop models and analysis methods to understand system behavior and guide design decisions.
- Investigate performance limitations and deliver improvements through structured analysis and experimental validation.
- Collaborate with photonics, electronics, FPGA and firmware engineers to translate algorithm concepts into practical, real-time solutions.
- Define performance requirements and verification approaches, ensuring solutions meet system and product needs.
- Support system integration, characterization and troubleshooting throughout development and production.
- Provide technical ownership across the development lifecycle, from concept and feasibility studies through implementation, verification and production support.
- Take ownership of assigned technical work packages, including planning, risk management, documentation and delivery.
Requirements
- Degree in control engineering, electrical or electronic engineering, physics, applied mathematics, or a related discipline.
- Demonstrated experience developing control and digital signal processing solutions for real-time systems.
- Strong capability in mathematical modeling, simulation and experimental data analysis.
- Practical experience validating algorithms on hardware and resolving system-level performance issues.
- Proficiency in MATLAB/Simulink, Python, or equivalent engineering tools.
- Ability to work independently and collaboratively within a multidisciplinary team.
- Experience with Fibre Optic Gyroscopes, inertial sensors, optical instrumentation or precision measurement systems.
- Familiarity with FPGA or embedded implementations of control and signal processing algorithms.
- Experience supporting product development from prototype through verification and production.
- Good communication and interpersonal skills with the ability to work effectively across multiple engineering disciplines.
- Ability to collaborate in a highly integrated multidisciplinary team environment.
- Proactive approach to problem solving and continuous improvement.
- Strong ownership mindset and accountability for technical outcomes.
- Commitment to knowledge sharing, mentoring, and fostering a collaborative engineering culture.
Skills
- Control engineering
- Signal processing
- Fibre Optic Gyroscopes (FOG)
- Modelling
- Algorithm development
- Experimental validation
- Closed-loop control
- Digital signal processing
- System requirements translation
- FPGA implementation
- Mathematical modelling
- Simulation
- Experimental data analysis
- Hardware validation
- System-level performance issue resolution
- MATLAB/Simulink
- Python
- Independent work
- Team collaboration
- Inertial sensors
- Optical instrumentation
- Precision measurement systems
- FPGA implementation
- Embedded systems
- Product development support
- Communication skills
- Interpersonal skills
- Problem solving
- Continuous improvement
- Accountability
- Knowledge sharing
- Mentoring
Education Level
- Degree in control engineering, electrical or electronic engineering, physics, applied mathematics, or a related discipline.