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　　Department Summary:

　　The mission of the Border Security department is to improve our impact on U.S. Customs and Border Protection (CBP) operations in the areas of border security, law enforcement, and immigration as part of the Center for Securing the Homeland (CSH). Our current work program includes support in the areas of systems engineering, program acquisition and management, sensors and surveillance, communications and networking, digital engineering, and cybersecurity.

　　Roles and Responsibilities:

　　Independently develop and lead teams to develop systems engineering models, tools, evaluations, and related products and deliverables that enable more informed acquisition program decisions for remote sensing, surveillance, and analytic systems.

　　Appropriately apply data enrichment techniques (including taxonomies, dictionaries, models, entity extraction, data mining, etc.) for greatest acquisition impact.

　　Evaluate sensor technologies, model their performance and behavior in varying environmental conditions, identify technical and operational gaps, and propose solutions for transitioning to the field.

　　Develop, propose, and implement sensor metadata capture, modeling, and standardization strategies using existing and planned sensor architectures to enable more efficient multi-sensor intelligence data products.

　　Utilize data analytics, machine learning (ML), and inferential statistical techniques and tools to identify objects, patterns of interest, and anomalies in surveillance sensor data.

　　Effectively communicate and apply experience and knowledge of artificial intelligence (AI)/ML capabilities and industry and academic advancements.

　　Maintain current knowledge of AI/ML capabilities and advancements through a commitment to continuous learning and active engagement.

　　Effectively communicate and apply experience and knowledge of IP-based standard communications protocols and profiles specified in most video cameras and live streaming protocols used for video delivery.

　　Demonstrate experience and knowledge of both hardware and software sensor interface standards, architecture, techniques, limitations, and the ability to derive – and demonstrate - “way ahead” proposals to improve multi-sensor data analyses and fusion.

　　“Hands on” expectations: support modeling & simulation, rapid lab prototyping, technical benchmarking, and field testing and evaluation of Homeland Security surveillance systems and applications.

　　Minimum Qualifications:

　　Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.

　　Experience with C++, Python, MATLAB, and/or other modeling and analysis tools.

　　Experience with basic lab test equipment for measuring hardware and radio frequencies (RF), video signals and software-based messages.

　　Must possess an active Top-Secret clearance.

　　Preferred Qualifications:

　　Master’s degree in computer science, electrical engineering, artificial intelligence, computer engineering, or a related field.

　　8 years of work experience in any of the following:

　　Applying real-time, advanced analytic techniques to surveillance video in creating an information-space model that parallels the video content.

　　Sensor data/metadata extraction, transcoding, and exploitation as ultimately applied to command and control (C2) decision making.

　　Video management systems that exploit sensor metadata and streaming video platforms/servers that optimize bandwidth during the transport stage from source to end user devices.

　　Comfortable working autonomously and as a team player.

　　Proactive and independent.

　　Thrives in a cooperative team setting.

　　This requisition requires the candidate to have a minimum of the following clearance(s):

　　Top Secret

　　This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

　　Top Secret

　　Work Location Type:

　　Hybrid

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