Signal Processing Engineer II – Relocation Eligible

RTX

Albuquerque (NM)

On-site

USD 76,000 - 144,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

RTX's Signals Processing team in Tucson, AZ seeks a Systems Engineer II to design, develop, prototype, and test RF/EO/IR algorithms and models for missile systems. You’ll work onsite in a rigorous lab setting with cross-functional collaboration to ensure performance and reliability of sensor processing across programs.

Responsibilities include integrating algorithms into hardware, validating performance, and supporting design reviews and live-fire testing.

Qualifications

  • Degree in Science, Technology, Engineering, or Mathematics (STEM) with ~2 years of relevant experience.
  • Experience with C, C++, C#, or Java programming languages.
  • Experience with algorithm design, implementation, testing, and optimization.
  • Ability to obtain and maintain Interim Secret U.S. government clearance before start.

Responsibilities

  • Support design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models.
  • Use and modify simulations to test sensor processing in hardware-in-the-loop environments.
  • Contribute to lab testing to verify and validate sensor models and algorithm performance.
  • Assist cross-disciplinary reviews and integrate algorithms into hardware across development phases.

Skills

C/C++/Java programming
Signal processing
Algorithm design/analysis
Interim Secret clearance eligibility

Education

STEM degree
Advanced degree in EE/CE/Physics/Applied Math

Tools

Azure DevOps
Git
MATLAB
Python

Job description

RTX's Signals Processing team in Tucson, AZ seeks a Systems Engineer II to design, develop, prototype, and test RF/EO/IR algorithms and models for missile systems. You’ll work onsite in a rigorous lab setting with cross-functional collaboration to ensure performance and reliability of sensor processing across programs.

Responsibilities include integrating algorithms into hardware, validating performance, and supporting design reviews and live-fire testing.

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