Senior Control and Digital Signal Processing Engineer (FOG)

Location: Sydney, Australia

Company

hirify.global develops AI robotics and navigation technologies for land, air, sea, and space applications, including inertial sensors, underwater sonar, GNSS, robotics, quantum sensors, and photonics.

What you will do

• Develop and optimise closed-loop control and digital signal processing algorithms for Fibre Optic Gyroscopes.
• Build mathematical models and analysis methods to guide design decisions and investigate system behaviour.
• Validate algorithms on hardware, analyse experimental data, and improve sensor performance, stability, robustness, and dynamic response.
• Collaborate with photonics, electronics, FPGA, and firmware engineers to deliver real-time solutions.
• Define performance requirements and verification approaches, supporting system integration, characterisation, troubleshooting, and production.
• Own technical work packages across feasibility, implementation, verification, documentation, risk management, 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 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 in a multidisciplinary engineering environment.

Nice to have

• 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.

Culture & Benefits

• Work in a highly integrated multidisciplinary engineering environment.
• Collaborate across control, signal processing, photonics, electronics, FPGA, and firmware disciplines.
• Contribute to knowledge sharing, mentoring, continuous improvement, and collaborative engineering practices.
• Take technical ownership and accountability for engineering outcomes.