Navigation and autonomous systems for GPS-denied environments
Advanced Navigation designs inertial, photonic, and acoustic navigation systems for autonomous platforms in GPS-denied settings—land, sea, air, and space. The tech stack (GNSS, C/C++, FPGA, embedded Linux, MATLAB) reflects deep hardware-software integration; hiring velocity is accelerating across engineering (15 roles) and leadership (7 senior/lead/director positions), signaling aggressive scaling into maritime autonomy and aerospace partnerships. Pain points around scaling engineering talent globally and software-hardware integration align with the complexity of their product roadmap.
Advanced Navigation, founded in 2012 and headquartered in Sydney, is a privately held Australian manufacturer of navigation and autonomous systems for applications where GPS is unavailable or unreliable. The company operates vertically integrated manufacturing with research and production facilities across Australia and offices globally. The product portfolio spans inertial navigation systems, USBL and acoustic systems, GNSS receivers and antennas, fibre optic gyroscopes, photonic and quantum sensing, and robotics. Active projects focus on maritime autonomous platforms, partnerships with shipbuilders and aerospace primes, next-generation embedded software, and laser velocity sensor packaging. The 201–500 employee base is distributed across engineering, sales, logistics, marketing, design, and finance.
Core stack includes GNSS, C/C++, FPGA, embedded Linux, MATLAB, Python, React, Node.js, GitLab CI/CD, Jira, and Salesforce. Hardware layers use STM32, MSP430, and FreeRTOS. Currently adopting MEMS.
Sydney, New South Wales, Australia. The company operates research and production facilities nationwide and maintains offices globally.
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Advanced Navigation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.