Sr. Principal Systems Engineer - Signal & Sensor Modeling

RTX

Orlando (FL)

On-site

USD 132,000 - 252,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance
Benefits package

Job summary

RTX is seeking a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer for an onsite role in Tucson, AZ. You’ll develop physics-based modeling solutions in the EO/IR/RF domain, enabling engineers to understand energy transport and test AI hardware concepts while collaborating across teams.

You will create modular C++ models, apply advanced EO/RF philosophies, and mentor peers. Candidates must have a STEM degree with extensive experience and the ability to obtain an interim

Qualifications

  • Degree in Engineering, Science, Physics, Mathematics, or related STEM field with 10+ years of experience
  • Experience applying object-oriented software design in C++/C and evaluating data with MATLAB or Python
  • Experience with UNIX/Linux, Apple OS, or Windows command line
  • Experience in electro-optics, radar processing, EO/IR/RF systems, energy transport, radar physics, or signal processing
  • Ability to obtain Interim Secret clearance; U.S. citizenship required

Responsibilities

  • Champion novel modeling solutions and develop new C++ models
  • Deploy EO/RF phenomenology in software implementations
  • Enable customer success through adoption of modeling tools
  • Work across programming languages and build environments on a DoD Space project
  • Research and develop advanced EO/RF modeling techniques
  • Coordinate with multiple teams to solve complex software and physics problems
  • Mentor teammates and share EO/RF expertise

Skills

C++
Python
MATLAB
UNIX/Linux
EO/RF modeling

Education

Engineering/Science/Mathematics degree

Tools

MATLAB
Python
OpenGL

Job description

RTX is seeking a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer for an onsite role in Tucson, AZ. You’ll develop physics-based modeling solutions in the EO/IR/RF domain, enabling engineers to understand energy transport and test AI hardware concepts while collaborating across teams.

You will create modular C++ models, apply advanced EO/RF philosophies, and mentor peers. Candidates must have a STEM degree with extensive experience and the ability to obtain an interim

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