Senior Control and Digital Signal Processing Engineer

Posted 9 Hours Ago
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Sydney, New South Wales, AUS
In-Office
Senior level
Robotics • Appliances
The Role
Develops and optimizes closed-loop control and digital signal processing algorithms for Fibre Optic Gyroscopes. Responsibilities include mathematical modeling, simulation, hardware validation, system integration, troubleshooting, FPGA implementation support, and technical ownership across product development. The role collaborates with photonics, electronics, FPGA, and firmware teams to improve sensor performance, stability, reliability, and dynamic response.
Summary Generated by Built In

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.


Skills Required

  • Degree in control engineering, electrical or electronic engineering, physics, applied mathematics, or a related discipline
  • Experience developing control and digital signal processing solutions for real-time systems
  • Strong mathematical modeling, simulation, and experimental data analysis capabilities
  • 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 across multiple engineering disciplines
  • Proactive problem-solving and continuous improvement approach
  • Strong ownership and accountability for technical outcomes
  • Commitment to knowledge sharing, mentoring, and collaborative engineering culture
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The Company
HQ: Sydney
119 Employees
Year Founded: 2010

What We Do

Advanced Navigation is a privately owned Australian company that specialises in the development of navigation technologies and robotics. The company has a focus on generating products of the highest quality standard, both in terms of hardware and software. The company's founders came from a background in mission critical robotics built to military specifications and this can be seen through Advanced Navigation's products. Advanced Navigation's engineers have specialised expertise across a broad range of fields including sensors, GNSS, inertial navigation, RF technologies, acoustics, robotics, AI and algorithms.

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