EXPANSIA

EXPANSIA

E01-C07 EGI Engineer

San Diego, CA · Full-time

No sponsorship$150k-$200kDetected 142 days ago
C++MATLABLinuxSensorsResearch

About the role

  • The proposed salary range for this position is $150,000 - $200,000.

Responsibilities

  • Support laboratory modification to model and simulate the MIMU interface and EGI performance.
  • Working knowledge of Matlab, C, C++ languages, Object Oriented design, UNIX and LINUX operating systems as well as Microsoft products.

Requirements

  • Ability to obtain Secret Clearance
  • Bachelor's of Science Degree in a technical discipline such as science, engineering, or mathematics from an accredited college/university and 6+ years of experience in electronic systems design engineering.
  • Embedded GPS/INS expertise with Miniature Inertial Measurement Unit (MIMU) and Embedded GPS Receiver (EGR).
  • Experience with EGI MIMU Performance Research, EGI Performance Modeling and EGI Interface Design.
  • Experience with navigation system architectures including accelerometer and gyroscope modeling using sensor fusion techniques such as Kalman filtering and Bayesian methods.
  • Ability to review and model MIMU performance.
  • and must be able to handle multiple projects simultaneously while effectively managing schedule and communicating process.

Nice to have

  • Good knowledge on embedded middleware, applications and services.
  • Basic working knowledge of oscilloscopes, logic analyzers and multimeters for debugging.
  • Experience identifying laboratory enhancements for emerging advancements in GPS technology and qualifying system-level specifications and ICDs for new Positioning, Navigating and Timing (PNT) test and evaluation systems.
  • Ability to convey subtle or complex messages clearly, as appropriate for the topic and audience.
  • Aether Aerospace is an Equal Opportunity Employer.

Compensation

  • The proposed salary range for this position is $150,000 - $200,000.

This listing is sourced directly from EXPANSIA's careers page and normalized into a canonical job model.