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Machine Learning Software Engineer

Company: Leidos
Location: Chula Vista
Posted on: November 19, 2022

Job Description:

DescriptionJob 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/demonstrationsDesigning, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systemImplementing advanced signal processing and machine learning algorithms for processing large volumes of RF dataOptimizing 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++, PythonAnalyzing existing algorithms and software to develop improvements in fidelity, sensitivity, and efficiencyProviding robust, scalable, configured software solutions in full-stack software development and deployment environmentsDesigning, implementing, and testing software to interface with RF hardware devicesBasic QualificationsB.S. degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or related field and 8+ years of prior relevant experience or M.S. degree with 6+ years of prior relevant experience.Must be able to work in our San Diego, CA officeSecret clearance with ability to obtain top secret clearanceDemonstrated experience supporting software development effortsSignificant experience and proficiency in C/C++, Python, MATLAB languages, MATLAB GPU computingExperience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlowAbility to communicate effectively both verbally and in writingMust be an independent thinker, capable of performing high quality work, both independently and with a team in a fast-moving environmentKnowledge of the Linux operating system as well as experience with real-time operating systemsPreferred QualificationsStrong understanding of machine learning frameworks, RF front end design, and signal processing algorithm developmentBackground in high performance computing implementations for signal detection and feature classificationExperience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development, synthetic aperture radar (SAR) or similar fieldsLInCElectronic WarfarePay Range:Pay Range $94,250.00 - $145,000.00 - $195,750.00The Leidos pay range for this job level is a general guideline only -and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Keywords: Leidos, Chula Vista , Machine Learning Software Engineer, IT / Software / Systems , Chula Vista, California

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