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LeidosPosted 1 week ago

Sensing Algorithm Engineer

$87,100–$157,450 year

On-siteSan Diego, California, United States

Full TimeDoctorate Or Professional DegreeEnterprise

Job Summary

Research and develop novel algorithms for remote sensing applications, then prototype and test them in high-level languages like Matlab or Python. Devise efficient software implementations in C, conduct performance testing and analysis, and document results to brief customers and stakeholders. This role requires a BS, MS, or PhD in a relevant field with 4–8 years of experience, fluency in programming, and an active Top Secret security clearance. Full-time on-site work is required in San Diego, CA.

Required Qualifications

  • BS degree in physics, engineering, math or related field with 4-8 years of relevant experience, or Masters with 2-6 years of relevant experience, or Doctoral degree if less than 2 years of experience
  • Fluency in at least 1 high-level programming language, such as Matlab or Python
  • Experience with signal processing, including Fourier transforms, filtering, and estimation
  • Basic understanding of physics with ability and eagerness to learn new concepts
  • Comfortable with Linux cluster computing environments
  • Strong understanding of probability, statistics, linear algebra, and complex variables
  • Familiarity with C coding and software engineering best practices or strong willingness to learn
  • Active Top Secret security clearance
  • Required on-site full-time work in San Diego, CA

Desired Qualifications

  • Proficiency with at least one sensing modality
  • Deep understanding of fluid dynamics
  • Deep understanding of acoustics
  • Experience with Distributed Acoustic Sensing (DAS)
  • Experience with Optics
  • Experience with Radar
  • Proficiency with C coding and software engineering best practices
  • Deep understanding of optimal detection and estimation
  • Deep understanding of array processing, beamforming, including concepts and implementation
  • Experience architecting algorithms and hardware for maximal efficiency
  • Experience with real-time processing with edge and cloud components
  • Experience integrating Machine Learning with signal processing
  • Experience with systems engineering
  • Exposure or strong interest in learning embedded programming

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