Principal Systems Engineer: GNC & Controls (Onsite Tucson)

RTX

Austin (TX)

On-site

USD 118,000 - 225,000

Full time

5 days ago
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Benefits offered by this job

Relocation assistance
Comprehensive benefits

Job summary

RTX (Raytheon Technologies) in Tucson, AZ is seeking Principal Systems Engineer for Processing, Guidance, & Controls to support on-site development of autonomous systems. The role requires a DoD Secret Interim clearance and U.S. citizenship.

You will develop guidance, navigation, and control algorithms, create dynamic models, and work with cross-functional teams to validate complex systems. The position is 100% on-site with possible travel, offering a competitive salary range and comprehensive

Qualifications

  • Requires degree in Engineering, Science, Physics, Mathematics or related STEM field with 8+ years of experience.
  • Experience in GNC, navigation sensors, state estimation, or related domains.
  • Proficiency with MATLAB, Python, C, C++, and OO design; ability to develop algorithms and models.

Responsibilities

  • Develop, simulate, and evaluate control and navigation algorithms for complex autonomous systems.
  • Build and use dynamic system models and simulations to evaluate behavior and reduce development cycles.
  • Analyze test data to drive engineering improvements and system performance.
  • Collaborate with mechanical, electrical, software, systems, and test teams to validate complex systems.
  • Experience creating algorithms, system models, simulation tools, controls, or signal processing solutions.

Skills

GNC systems
Navigation sensors
State estimation
Guidance and control
MATLAB
Python
C
C++
OO design

Education

Engineering/Science/Physics/Math degree

Tools

MATLAB
Python
C
C++
Object-Oriented design

Job description

RTX (Raytheon Technologies) in Tucson, AZ is seeking Principal Systems Engineer for Processing, Guidance, & Controls to support on-site development of autonomous systems. The role requires a DoD Secret Interim clearance and U.S. citizenship.

You will develop guidance, navigation, and control algorithms, create dynamic models, and work with cross-functional teams to validate complex systems. The position is 100% on-site with possible travel, offering a competitive salary range and comprehensive

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