Copy of Lead Inertial Sensor Engineer- MEMS

Advanced Navigation; Sydney; Vor Ort; AUD 120.000 - 180.000; Vollzeit

Zusammenfassung

Advanced Navigation in Sydney seeks a subject matter expert to bridge software, mechanical, and electronic engineering with a strong physics/engineering background. The role focuses on inertial sensor technologies, rigorous testing, and advanced calibration to optimise system performance.

Ideal candidates combine hands-on testing with deep theoretical knowledge of sensor technology, MEMS/FOG, and INS, and will collaborate across teams to integrate sensors into a broad product range from

Qualifikationen

• Educational background in Physics, Mechatronics, Electrical Engineering or closely related discipline.
• Master’s or PhD focused on sensor technology or inertial navigation highly advantageous.
• Proven experience in designing and executing tests for inertial sensors (accelerometers and gyroscopes).
• Experience in sensor development, including MEMS or Fibre-Optic Gyroscopes.
• Deep understanding of how sensor characteristics affect INS performance.
• Proficiency in data acquisition and analysis using Python or MATLAB.

Aufgaben

• Contribute to R&D of internally-developed sensor technologies.
• Provide expert guidance on sensor properties for inertial navigation systems.
• Develop and implement advanced sensor calibration techniques to optimise performance.
• Lead testing, characterisation, and selection of third-party inertial sensors.
• Analyse test data to identify sensor performance limitations and improvement areas.
• Collaborate with cross-functional teams to integrate sensors into diverse product ranges.

Kenntnisse

Sensor testing

Sensor calibration

INS analysis

Python

MATLAB

Ausbildung

Bachelor's in Physics / Mechatronics / Electrical Engineering

Tools

MEMS

FOG

Jobbeschreibung

OVERVIEW 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.

ROLES & 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.

QUALIFICATIONS, EXPERIENCE & SKILLS

Educational Background: 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.

Sensor Testing and Characterisation: 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.

Sensor Development: 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.

Inertial Navigation Systems (INS) Expertise: 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.

Calibration Techniques: The candidate should be proficient in advanced sensor calibration methods to minimise errors and optimise performance.

Software and Data Analysis Skills: Proficiency in software tools used for data acquisition and analysis, such as Python or MATLAB, is important.
Industry Experience: While not mandatory, experience in one of our key industries—like defense, maritime, or autonomous vehicles—would be a significant plus, as they would