Sensing Algorithm Engineer Jobs
Listed on 2026-08-20
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Sensing Algorithm Engineer
Leidos addresses some of the nation's toughest defense challenges through innovative signal processing and data analytics. Our San Diego-based team consists of highly skilled scientists and engineers focused on extracting maximum intelligence from complex datasets derived from diverse sensing modalities. We seek a talented Sensing Algorithm Engineer who thrives in algorithm research, development, and implementation. The ideal candidate is creative, efficient, collaborates well, and is passionate about bringing solutions from concept to delivery.
Leidos is an employee-friendly company with a competitive benefit package, flexible working hours, and a collegial atmosphere.
Primary Responsibilities
- Research and develop novel algorithms for remote sensing applications
- Prototype and test algorithms in high-level languages such as Matlab or Python
- Devise efficient software implementations in C programming language
- Conduct algorithm performance testing and analysis
- Document results and brief customers and stakeholders
Basic 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
Bonus 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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