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.
• Strong 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.
• Solid ownership mindset and accountability for technical outcomes.
• Commitment to knowledge sharing, mentoring, and fostering a collaborative engineering culture.

📌 Senior DSP (Sydney)
🏢 Advanced Navigation
📍 Sydney