Lead Inertial Navigation System Engineer

OF ROLE In this role you will be a subject matter expert, filling a critical knowledge gap in your engineering team. Given that our company heavily relies on software to enhance hardware performance, this person must have a strong multidisciplinary background across physics, electronics, and software. The ideal candidate would have a unique blend of hands-on testing experience and a deep theoretical understanding of sensor technologies. Your background should bridge the gap between our software, mechanical, and electronic engineering teams.

About Advanced Navigation

• 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.

Responsibilities

• Contribute to the research and development of novel, internally-developed sensor technologies.
• Provide expert guidance to the engineering team on the critical properties of sensors for inertial navigation systems.
• Develop and implement advanced sensor calibration techniques to optimise system performance.
• Lead the testing, characterisation, and selection of third-party inertial sensors.
• Analyse test data to identify sensor performance limitations and areas for improvement.
• Collaborate with cross-functional teams to integrate sensors into our diverse product range, from low-cost to high-end systems.

Requirements

• A degree in a relevant field such as Physics, Mechatronics, Electrical Engineering, or a closely related discipline is essential.
• An advanced degree (Master's or PhD) would be highly advantageous, especially if their research was focused on sensor technology or inertial navigation.
• They must have proven experience in designing and executing tests for inertial sensors (accelerometers and gyroscopes).
• This includes understanding test methodologies, sources of error, and how to analyse the resulting data.
• Experience in the development of new sensors is crucial.
• This could involve technologies like MEMS (Micro-Electro-Mechanical Systems), FOG (Fibre-Optic Gyroscopes), or other emerging sensor tech.
• This experience ensures they can contribute to your in-house sensor development.
• A deep understanding of how sensor characteristics impact the performance of an INS is paramount.
• They should be able to identify which sensor properties are most critical for your high-performance navigation systems.
• Proficiency in software tools used for data acquisition and analysis, such as Python or MATLAB, is important.

Preferred

• The candidate should be proficient in advanced sensor calibration methods to minimise errors and optimise performance.
• While not mandatory, experience in one of our key industries—like defense, maritime, or autonomous vehicles—would be a significant plus, as they would