Overview of Role

This role is responsible for developing and advancing control and signal processing solutions for Fibre Optic Gyroscopes (FOG). Working within a multidisciplinary engineering team, the engineer will improve sensor performance, robustness and reliability through modelling, algorithm development and experimental validation. The role focuses on optimising closed-loop control and digital signal processing to improve FOG performance, stability and dynamic response.

It also translates system requirements into algorithm designs and specifications for FPGA implementation.

Key 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 behaviour 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, characterisation 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.

Essential Experience and Skills

- 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.
- Solid capability in mathematical modelling, 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.

Desirable Experience

- 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.

Soft Skills

- 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.

📌 Senior Control and Digital Signal Processing Engineer (Sydney)
🏢 Advanced Navigation
📍 Sydney