Lead MEMS Inertial Sensor Engineer in Sydney

Lead MEMS Inertial Sensor Engineer in Sydney

Sydney Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the development and optimisation of cutting-edge MEMS inertial sensors.
  • Company: Join Advanced Navigation, a leader in innovative sensor technology.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact in sensor technology and work on exciting projects.
  • Qualifications: Experience in sensor systems, hands-on testing, and proficiency in Python or MATLAB.

The predicted salary is between 135000 - 165000 $ per year.

Advanced Navigation is seeking an experienced Lead Inertial Sensor Engineer to bridge software, electronics and mechanical engineering in sensor development.

The role focuses on validating and extending inertial sensor performance across MEMS and related technologies.

The ideal candidate combines hands-on testing with deep theoretical knowledge of sensor systems and INS impact, enabling optimisation of products from low-cost to high-end platforms.

Proficiency in Python or MATLAB is expected.

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Lead MEMS Inertial Sensor Engineer in Sydney employer: Advanced Navigation

Advanced Navigation is an exceptional employer located in the vibrant city of Sydney, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ongoing professional development opportunities, a supportive team environment, and the chance to work on cutting-edge technology in real-time AI navigation. With a focus on employee well-being and a commitment to work-life balance, Advanced Navigation stands out as a rewarding place to build a meaningful career.

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Contact Details:

Advanced Navigation Recruitment Team

We think you need these skills to ace Lead MEMS Inertial Sensor Engineer in Sydney

MEMS Technology
Inertial Sensor Systems
Sensor Performance Validation
Hands-on Testing
Theoretical Knowledge of Sensor Systems
Product Optimisation
Python