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Have an Associate’s degree, certification, or other education in electronics/engineering Can interpret electronic schematics and printed circuit board layout Have experience with programming or scripting languages (e.g., Python) for test automation Have experience with data acquisition systems and software Have experience with working in a research or laboratory environment Hold an active Top Secret Level security clearance.
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Experience: Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering.
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You could also have this Basic knowledge of reverse engineering About BlueHalo Intelligence Systems BlueHalo's Intel division provides specialized operational support, services and technology to plan, design, develop and execute critical missions in the national security community.
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Design, develop, implement and integrate Cybersecurity and security systems and system components, including those for networking, computing, and enclave environments to include those with multiple enclaves and differing data protection/classification requirements.
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If you possess a degree in engineering (e.g., systems, biomedical, industrial, mechanical, health systems, human systems), computer science, or mathematics, and want to work in the areas of health and human-machine systems, we would love to have you join our team.
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In addition, it may also include engineering hardware and/or software, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, systems engineering, and/or network and systems administration.
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Working knowledge of Digital Multiplexers, Analog and Digital Signals, Voice/Vocoders, TDMs, Spread Spectrum, SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, protocols, and data such as: MPLS, Psuedowire, TDMop, ATM, Frame Relay, Cisco, Nortel, X.25, PPP, IP, TCP, UDP, VOIP, VOFR, and Fragmentation.
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In particular, you will conduct modeling and simulation analysis, identify defensive systems gaps, and develop new system concepts to revolutionize defensive capabilities for the U.S.A. You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc.
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U) Note 1 – Examples of Qualified engineering fields include: Aeronautics, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical, Nuclear, Software, Systems, and Engineering Management.
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Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university.
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Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
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Note 1 - Examples of Qualified engineering fields include: Aeronautics, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical, Nuclear, Software, Systems, and Engineering Management.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Basic Qualifications: Bachelor's Degree in Systems Engineering, Information Technology, Information Systems Management, Computer Engineering, Cyber Security, or related field and 8 + years’ experience demonstrating the ability to meet stated responsibilities.
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Description: Seeking a Systems Engineer with strong project management skills to provide the engineering and project management for end-to-end data flows in support of the Data Normalization & Automation (DNA) TTO. The successful candidate will be able to elicit and refine requirements, schedule work breakdown to deliverables, document artifacts, and provide roadmaps and schedules for implementing end-to-end data flows, including transformation into a standard data model.
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