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    Software Engineer TS/SCI - Tucson, United States - Ed Wallach Search Group

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    Description

    Location: Tucson, AZ


    Security Clearance: TS/SSBI/SCI

    We are seeking Software Engineers with Top Secret Clearances to create cutting edge signal processing, geolocation, and communication systems solutions to challenging national security and defense problems.

    You will work in a multi-disciplinary R&D environment with similarly skilled and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and professional environment.


    The primary responsibilities for the Software Engineer position are:

    Core responsibilities include designing real-time processing solutions, implementing advanced signal processing and geolocation algorithms in efficient software, testing with real data, and deploying to front-line customer facilities.

    You also create effective user interfaces and data visualization tools.
    A key responsibility is mastering and evolving framework capabilities as applications migrate to a cloud-based computing environment.

    Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference.


    Required:

    • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science
    • Competent in using C/C++/Python for engineering or scientific applications in the Linux environment
    • Facility with agile software development practices at all stages of the software life cycle
    • Good speaking skills with the ability to interact with customers and senior engineers
    • Able to assist in creation of cutting-edge solutions for customer issues
    • TS/SCI security clearance
    Technical Interest Areas


    • High Performance Computing including parallel and distributed computation
    • Numerical algorithms
    • GPU acceleration using CUDA
    • Machine learning
    • Virtualization and Cloud computing
    • Visualization of large engineering data
    • HTML5 for real-time GUI engineering applications
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