Machine Learning Software Engineer

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Job Description

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. The Leidos Innovations Center (LInC) at Leidos currently has an opening for an experienced software engineer to support an exciting new program in San Diego which utilizes novel machine learning concepts and techniques to advance the state of the art. You will be on a team implementing advanced signal processing and machine learning algorithms and develop operational software.

The selected individual will develop new software solutions to interface with new and existing RF hardware. He/she is expected to support the full range of functions to include developing new software engineering

concepts/methodologies, implementing complex signal processing/machine learning algorithms, testing and deploying a real-time operational prototype system. The selected individual will be responsible for using sound software engineering principles to ensure that developed code is modifiable, efficient, reliable, understandable, fault tolerant, and reusable, including providing software process management and control throughout the coding portion of the software development process.

Regular tasks will include:

  • Developing test plans and documentation to support lab and field tests/demonstrations
  • Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating system
  • Implementing advanced signal processing and machine learning algorithms for processing large volumes of RF data
  • Optimizing software for high-volume data analysis, real-time processing throughput, and robust performance on advanced hardware platforms.
  • Programming in languages such as MATLAB, C/C++, Python
  • Analyzing existing algorithms and software to develop improvements in fidelity, sensitivity, and efficiency
  • Providing robust, scalable, configured software solutions in full-stack software development and deployment environments
  • Designing, implementing, and testing software to interface with RF hardware devices

Basic Qualifications

  • S. degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or related field and 4+ years of prior relevant experience or M.S. degree with 2+ years of prior relevant experience.
  • Must be able to work in our San Diego, CA office
  • Secret clearance with ability to obtain top secret clearance
  • Demonstrated experience supporting software development efforts
  • Significant experience and proficiency in C/C++, Python, MATLAB languages, MATLAB GPU computing
  • Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow
  • Ability to communicate effectively both verbally and in writing
  • Must be an independent thinker, capable of performing high quality work, both independently and with a team in a fast-moving environment
  • Knowledge of the Linux operating system as well as experience with real-time operating systems

Preferred Qualifications

  • Strong understanding of machine learning frameworks, RF front end design, and signal processing algorithm development
  • Background in high performance computing implementations for signal detection and feature classification
  • Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development, synthetic aperture radar (SAR) or similar field

Company Info.


Leidos, formerly known as Science Applications International Corporation, is an American defense, aviation, information technology, and biomedical research company headquartered in Reston, Virginia, that provides scientific, engineering, systems integration, and technical services.

  • Industry
    Information Technology
  • No. of Employees
  • Location
    La Jolla, San Diego, California, USA
  • Website
  • Jobs Posted

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Leidos is currently hiring Machine Learning Software Engineer Jobs in San Diego, CA, USA with average base salary of $120,000 - $190,000 / Year.

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