Real-Time Embedded Software Engineer (Junior)

Chantilly, VA
Jan 14, 2019
Jan 15, 2019
Full Time
Job Description:Want to contribute to a multi-discipline team through designing and developing advanced systems? This may be the position for you. Leidos currently has an exciting opportunity for a Jr. Real-Time Embedded Software Engineer to perform design, development, and hardware/software integration. Work will be performed in Chantilly and Arlington, VA. You must be able to obtain an active Top Secret/SCI clearance to be considered for this position. Job Description: You will contribute to the design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts. We are seeking a candidate for this position with a track record of implementing high-performance signal processing algorithms on general purpose processors, such as ARM. You will: Design, implement, and test real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks Design, implement, and test software to configure and control RF hardware devices Integrate software into third-party software frameworks and architectures, such as Redhawk Document the developed systems Support system field testing and collection events, usually about a week in duration once or twice a year Basic Qualifications/Experience: Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science Be able to obtain a Top Secret/SCI Clearance 2-4 years of C/C++ real-time software development experience Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins) Experience building software products that utilize third party mathematics and communication libraries Experience with interface communication standards / protocols such as TCP/IP, UDP, and DDS Ability to read and understand signal processing algorithms written in MATLAB Advanced knowledge of the Linux operating system as well as experience with real-time operating systems Desirable education/experience: Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent Security clearances of any level Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow Experience with MATLAB GPU computing Experience with High Performance Computing including parallel and distributed computation Experience with Model-Based Design code generation practices Experience with cloud-based computing platforms, such as Amazon Web Services (AWS) Experience with other programming languages such as Python and/or Java

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