Lead GNC Engineer For Autonomous Robotic Systems

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.
- 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.
- Use principles of control theory, applied physics, and applied mathematics to design GNC solutions for Anduril’s autonomous systems
- Design, build, and test GNC control laws in VMS (vehicle management system) software
- Build vehicle simulation models to inform design trades, assess system capabilities, and establish system margins
- Contribute to the development of new capabilities to enhance existing products or bring capabilities and technologies to market
- Collaborate across multiple teams to plan, build,



and test complex functionality
- Work on real, meaningful projects and learn from experienced professionals along the way

REQUIRED QUALIFICATIONS

- Must be pursuing tertiary education in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, or a related field.
- Must be returning to school at the end of the internship to continue academic studies for at least one term.
- Ability to obtain and maintain an Australian Government Security Clearance.
- Ability to complete an in-person 12-week internship in summer 2026.

PREFERRED QUALIFICATIONS

- Experience in digital control systems, linear and nonlinear dynamics systems
- Experience in state estimation, e.g. Kalman filter, extended Kalman filter
- Proficiency in Matlab and Simulink
- A desire to work on GNC solutions that have real-world impact
- Experience in digital control systems, linear and nonlinear dynamics systems
- Experience in state estimation, e.g. Kalman filter, extended Kalman filter
- Proficiency in Matlab and Simulink
- A desire to work on GNC solutions that have real-world impact

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

At Anduril, we invest in our people. Our comprehensive, competitive perks package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .

📌 Lead Gnc Engineer For Autonomous Robotic Systems (Sydney)
🏢 Telemetry Today
📍 Sydney