Early-Career RF & SAR Image Processing Engineer

Sandia National Laboratories

Albuquerque (NM)

On-site

USD 102,000 - 200,000

Full time

7 days ago
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Benefits offered by this job

9/80 compressed workweek
4/10 compressed workweek
Telecommuting (onsite/work from home)
Relocation assistance
Generous benefits

Job summary

Sandia National Laboratories in Albuquerque, NM, is seeking an early career data exploitation and analysis engineer to advance SAR sensor systems and digital signal processing. This on-site role involves developing new methods for imaging and reconnaissance, collaborating with a multidisciplinary team in a dynamic work environment.

The ideal candidate will have a Bachelor’s degree in a relevant field, experience with RF signal processing, Python/C/C++, and MATLAB/Simulink, and be eligible for

Qualifications

  • Bachelor's degree in a relevant discipline or equivalent
  • Ability to obtain DOE Q clearance and SCI level clearance, may require a polygraph
  • Education in RF signal processing and image formation and/or computer vision

Responsibilities

  • Develop and improve digital signal and image processing techniques that address real world national security situational awareness and decision‑making challenges
  • Advance state‑of‑the‑art in data analysis and exploitation
  • Work across RF disciplinary boundaries to develop novel SAR information products
  • Analyze and resolve anomalies in algorithmic performance and implementation

Skills

RF signal processing
Python
C/C++
Unix/Linux
Image analysis

Education

Bachelor's degree in a relevant discipline
Graduate degree in Electrical Engineering or related field
Master's or PhD in related STEM

Tools

MATLAB/Simulink
Digital signal processing tools

Job description

Sandia National Laboratories in Albuquerque, NM, is seeking an early career data exploitation and analysis engineer to advance SAR sensor systems and digital signal processing. This on-site role involves developing new methods for imaging and reconnaissance, collaborating with a multidisciplinary team in a dynamic work environment.

The ideal candidate will have a Bachelor’s degree in a relevant field, experience with RF signal processing, Python/C/C++, and MATLAB/Simulink, and be eligible for

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