Senior Signal & Sensor Modeling Architect

RTX; San Diego (CA); Presencial; USD 87.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Competitive benefits package

Descripción de la vacante

RTX is seeking a Sr. Systems Engineer - Signal and Sensor Modeling Engineers in Tucson, AZ. You will create physics-based modeling solutions for DoD Space, deploying EO/IR/RF modeling technologies and collaborating across teams to advance AI-enabled hardware and software.

This onsite role requires a strong C++ background and domain knowledge in EO/RF systems. The position emphasizes developing extensible models, cross-language collaboration, and mentoring peers while supporting a secure

Formación

• Degree in Engineering, Science, Physics, Mathematics, or related STEM field with 5+ years of relevant experience.
• Experience with object-oriented software design in C++, C, and MATLAB or Python for data evaluation.
• Experience with UNIX/Linux, macOS, or Windows command line.
• Experience in EO/RF domains and signal processing concepts.
• Ability to obtain Interim Secret U.S. government clearance; U.S. citizenship required.

Responsabilidades

• Champion novel modeling solutions for advanced modeling techniques.
• Develop new C++ models in extensible, maintainable form.
• Apply EO/RF phenomenology and physics in software implementations.
• Enable customer success through adoption of modeling solutions.
• Collaborate across teams and environments; work with multiple development teams.

Conocimientos

C++

Python

MATLAB

UNIX/Linux

Security clearance

Educación

Engineering/Science/Math degree

Herramientas

OpenGL

CUDA

GPU acceleration

Descripción del empleo

RTX is seeking a Sr. Systems Engineer - Signal and Sensor Modeling Engineers in Tucson, AZ. You will create physics-based modeling solutions for DoD Space, deploying EO/IR/RF modeling technologies and collaborating across teams to advance AI-enabled hardware and software.

This onsite role requires a strong C++ background and domain knowledge in EO/RF systems. The position emphasizes developing extensible models, cross-language collaboration, and mentoring peers while supporting a secure