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Advanced Navigation in Sydney seeks a Senior Software Engineer to develop navigation and state estimation algorithms for high-precision sensors in real-time embedded systems.
You will implement robust estimation, sensor fusion architectures, and HWIL testing using C/C++, Python, and MATLAB, with rigorous uncertainty analysis.
The role targets aerospace/autonomous systems work and requires 5+ years of experience, a strong technical degree, and collaboration with hardware teams.
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
As a Senior Software Engineer at Advanced Navigation, you will operate at the tip of the spear within our 'skunkworks' Special Projects Team. You will fulfill the critical role of developing the highly specialized navigation and state estimation algorithms responsible for processing high-precision sensor signals at the heart of our world-leading products.
You will leverage your deep knowledge acquired through 5+ years of experience in complex technical domains - such as aerospace, autonomous vehicles, or defence systems - to design, implement, and validate advanced sensor fusion architectures. Utilizing your expertise in modern software engineering and mathematical modeling (including C/C++, Python, and MATLAB), you will translate system specifications into robust software solutions for real-time embedded environments. You will augment your software development workflow with robust simulation practices, hardware-in-the-loop (HWIL) testing, and comprehensive uncertainty analysis to ensure all algorithms are verifiably fit for purpose before deployment.
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