Signal & Sensor Modeling Engineer II (EO/RF)

RTX

Orlando (FL)

Sur place

USD 69 000 - 131 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Relocation assistance

Résumé du poste

RTX is seeking a Systems Engineer II - Signal and Sensor Modeling Engineer for an onsite Tucson, AZ role. You will build physics-based models in the DoD Space domain, focusing on EO/IR/RF technologies to support energy transport and AI-driven hardware solutions.

You will work with a close-knit team to deploy modeling solutions, contribute to software across languages, and mentor peers while enabling customers’ success in a challenging defense environment.

Qualifications

  • Typically requires a degree in Engineering, Science, Physics, Mathematics, or related STEM field.
  • Minimum of 2 years of prior relevant experience.
  • Experience with object-oriented design in C++/C and MATLAB or Python.
  • Experience with UNIX/Linux, macOS, or Windows command line.
  • Ability to obtain Interim Secret U.S. government clearance; U.S. citizenship required.

Responsabilités

  • Champion novel modeling solutions.
  • Develop new C++ models in an extensible, maintainable fashion.
  • Deploy EO or RF phenomenology in software.
  • Enable customer success through modeling solutions adoption.
  • Work across programming languages and build environments.
  • Research and develop EO or RF modeling solutions.
  • Coordinate with multiple teams to prioritize and solve problems.
  • Mentor EO/RF expertise within the team.

Connaissances

C++
C
OO design
MATLAB
Python

Formation

Engineering, Science, Physics, Mathematics degree

Outils

OpenGL
CUDA
GPU programming
Scene generation
Sensor modeling

Description du poste

RTX is seeking a Systems Engineer II - Signal and Sensor Modeling Engineer for an onsite Tucson, AZ role. You will build physics-based models in the DoD Space domain, focusing on EO/IR/RF technologies to support energy transport and AI-driven hardware solutions.

You will work with a close-knit team to deploy modeling solutions, contribute to software across languages, and mentor peers while enabling customers’ success in a challenging defense environment.

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