Senior DSP & Controls Engineer - Guidance, Navigation & Control

Advanced Navigation; Sydney; Vor Ort; AUD 120.000 - 170.000; Vollzeit

Zusammenfassung

Advanced Navigation is seeking an engineer to develop and advance control and signal processing solutions for Fibre Optic Gyroscopes (FOG). The role sits within a multidisciplinary team to enhance sensor performance, robustness and reliability through modelling, algorithm development and hardware validation.

The position focuses on optimizing closed-loop control and DSP for FOG performance, translating system requirements into FPGA-ready designs and ensuring production-ready solutions through

Qualifikationen

• Degree in control, electrical or related engineering field.
• Experience in real-time control and DSP for embedded systems.
• Strong skills in mathematical modelling, simulation and data analysis.
• Experience validating algorithms on hardware and with system-level issues.
• Proficiency in MATLAB/Simulink and Python.
• Ability to work independently and in a multidisciplinary team.

Aufgaben

• Develop and optimize closed-loop control and DSP algorithms for FOG.
• Create models and analysis methods to guide design decisions.
• Investigate performance limits and validate improvements experimentally.
• Collaborate with photonics, electronics, FPGA and firmware engineers.
• Define performance requirements and verification approaches.
• Support system integration, characterization and troubleshooting.
• Provide ownership across the development lifecycle and deliver packages.
• Plan and manage technical work packages, including risk and documentation.

Kenntnisse

Control engineering

Signal processing

MATLAB/Simulink

Python

Real-time systems

Team collaboration

Ausbildung

Bachelor's degree in control engineering or related field

Tools

FPGA toolchains

Python

Jobbeschreibung

Advanced Navigation is the world’s most determined innovator in AI robotics and navigation technologies across land, air, sea and space applications. Founded on a culture of research and discovery, Advanced Navigation's mission is to be the catalyst of the autonomy revolution. Fields of expertise include artificial intelligence, underwater sonar, GNSS, radio frequency systems, inertial sensors, robotics, quantum sensors and photonics.

Today, Advanced Navigation is a supplier to some of the world's largest companies, including Airbus, Boeing, Google, Tesla, NASA, Apple, and General Motors. Discover it for yourself: https://youtu.be/F7uAqs1gtuk

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