PIR Exploitation Analyst

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. The posting includes sections: "What Impact You'll Have", "What You'll Be Owning", "What You Must Have", "What Would Be Nice To Have", "Why Choose GRVTY". We need to map to appropriate headings: maybe "About the role" for impact? "Responsibilities" for what you'll be owning? "Requirements" for what you must have? "Qualifications" maybe for nice to have? "Skills" maybe for tools? "Benefits" from Why Choose GRVTY (benefits listed). Pay and Schedule not present, so omit. We must not repeat job title. No metadata like Job ID. Remove boilerplate: EEO statement, accommodations, etc. Also remove application instructions (like "Please review our current job openings..."). We need to preserve all substantive info. So we need to extract bullet points from each section. Let's parse: Impact section bullet points (actually sentences): - Directly support the National Air and Space Intelligence Center's (NASIC) scientific and technical intelligence mission, delivering PIR exploitation products that inform Missile Defense Agency (MDA) test planning, sensor calibration, and national-level threat characterization - Shape how emerging OPIR, GEOINT, and MASINT sensor data is fused, analyzed, and turned into actionable intelligence for warfighters, acquisition decision-makers, and policymakers - Work at the leading edge of space-based remote sensing and IR phenomenology — helping close critical gaps between raw collection and usable intelligence on foreign missile and weapons development - Contribute tradecraft and technical judgment that feeds directly into MDA test event planning, ensuring collection requirements are met and sensor performance is properly characterized Responsibilities (What You'll Be Owning) bullet points: - Apply PIR exploitation tradecraft and structured analytic workflows to process, characterize, and report on infrared sensor data and events - Perform IR sensor operations support, including data quality review, sensor performance assessment, and exploitation of thermal/spectral signatures - Conduct IR signature phenomenology analysis to distinguish, classify, and characterize target events (e.g., missile launches, plumes, thermal anomalies) from background and false alarms - Apply space-based remote sensing principles to support tasking, collection, and exploitation across OPIR and related sensor architectures - Develop, test, and refine algorithms for signal processing and automated/semi-automated data exploitation workflows - Plan and execute field test events and data collections, coordinating sensor tasking, ground truth collection, and post-event data capture - Perform advanced data analysis and signal processing on multi-INT datasets to support technical intelligence assessments - Integrate understanding of OPIR, GEOINT, and MASINT sensor systems and data products to support MDA test requirements, collection planning, and mission partner needs - Produce and present technical intelligence assessments, briefings, and written products to NASIC leadership, mission partners, and national-level customers - Coordinate with cross-functional teams (systems engineers, program management, other INT disciplines) to ensure exploitation workflows align with mission and program objectives Requirements (What You Must Have): - Active TS/SCI clearance (or ability to obtain/transfer) — required to start - Bachelor's degree in a related technical field (Physics, Engineering, Math, Remote Sensing, or similar), or equivalent experience/military-DoD training in lieu of degree - 5+ years of relevant work experience - Demonstrated experience in PIR/OPIR exploitation, IR sensor data analysis, or related technical intelligence disciplines - Working knowledge of IR signature phenomenology and space-based remote sensing concepts - Experience with algorithm development/programming applied to sensor data exploitation or signal processing (e.g., MATLAB, Python, or similar) - Familiarity with field test planning, data collection execution, or sensor tasking/collection processes - Understanding of OPIR, GEOINT, and/or MASINT sensor systems, data types, and exploitation tools (e.g., ArcGIS, ENVI, SOCET GXP, Remote View, or equivalent) - SIPRNet/JWICS experience and familiarity with multi-INT fusion workflows across GEOINT, MASINT, and SIGINT - Strong written and verbal communication skills, with ability to produce technical reports and briefings for senior stakeholders - Ability to work independently and collaboratively in a fast-paced, mission-focused environment (actually "fast-paced, mission-focused environment") Nice to have (What Would Be Nice To Have): - Prior experience supporting NASIC, MDA, or a related national intelligence/DoW collection organization - Direct experience with MDA test planning, sensor performance characterization, or missile defense collection requirements - Advanced degree (MS) in a relevant technical or scientific discipline - Experience with additional exploitation tools (IOTS, TMS, GAT, RET, HAAPi, PDP Viewer, COMET, Palette, Black Wolf, MIST, ERDAS IMAGINE, AGITK, WARP, GETS, or similar) - Signal processing experience specific to infrared, radar, or RF sensor phenomenology - Prior work on a NOVASTAR, ATEP II, or similar NASIC-supporting contract vehicle Benefits (Why Choose GRVTY): - Robust health plan including medical, dental, and vision - Health Savings Account with company contribution - Annual Paid Time Off and Paid Holidays - Paid Parental Leave - 401k with generous company match - Training and Development Opportunities - Award Programs - Variety of Company Sponsored Events We should not include EEO statement etc. We need to output HTML fragment with headings

and then content. For each section we decide which heading to use. Possible mapping: - About the role: Impact section (what impact you'll have) - Responsibilities: What You'll Be Owning - Requirements: What You Must Have - Qualifications: What Would Be Nice To Have (or Skills?). But we have Skills maybe for tools? However we have a separate Skills heading optional. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Qualifications for nice-to-have, Skills for specific technical skills/tools? But we already have tools in requirements and nice-to-have. Could combine. We need to avoid thin sections. Let's decide: - About the role: Impact - Responsibilities: What You'll Be Owning - Requirements: What You Must Have (clearance, degree, experience) - Qualifications: What Would Be Nice To Have (advanced degree, extra experience) - Skills: maybe list specific technical skills like MATLAB, Python, ArcGIS, ENVI, etc. But those are already in requirements/nice-to-have. Could create a Skills section summarizing technical skills: IR signature phenomenology, space-based remote sensing, algorithm development (MATLAB/Python), sensor data exploitation, multi-INT fusion, etc. However we must not invent or summarize away detail; we must preserve ALL substantive information. If we create a Skills section, we need to ensure we are not omitting any info from other sections. We could keep the info in Requirements and Qualifications and not create Skills if it would be thin. Better to avoid Skills if not enough distinct content. - Benefits: from Why Choose GRVTY. Thus we will have sections: About the role, Responsibilities, Requirements, Qualifications, Benefits. We must not include Pay or Schedule. Now produce HTML:

About the role

Directly support the National Air and Space Intelligence Center's (NASIC) scientific and technical intelligence mission, delivering PIR exploitation products that inform Missile Defense Agency (MDA) test planning, sensor calibration, and national-level threat characterization.

Shape how emerging OPIR, GEOINT, and MASINT sensor data is fused, analyzed, and turned into actionable intelligence for warfighters, acquisition decision-makers, and policymakers.

Work at the leading edge of space-based remote sensing and IR phenomenology — helping close critical gaps between raw collection and usable intelligence on foreign missile and weapons development.

Contribute tradecraft and technical judgment that feeds directly into MDA test event planning, ensuring collection requirements are met and sensor performance is properly characterized.

Alternatively could use

• for list. The instruction: Use
  • for any list of duties/requirements/benefits, and

    for prose. The impact statements are more like duties? They are bullet-like. Could treat as list. Safer to use

    • for each bullet. For prose we can use

      . The impact statements are like bullet points; we can use

      • . Similarly responsibilities list. Thus:

        About the role

        • Directly support the National Air and Space Intelligence Center's (NASIC) scientific and technical intelligence mission, delivering PIR exploitation products that inform Missile Defense Agency (MDA) test planning, sensor calibration, and national-level threat characterization.
        • Shape how emerging OPIR, GEOINT, and MASINT sensor data is fused, analyzed, and turned into actionable intelligence for warfighters, acquisition decision-makers, and policymakers.
        • Work at the leading edge of space-based remote sensing and IR phenomenology — helping close critical gaps between raw collection and usable intelligence on foreign missile and weapons development.
        • Contribute tradecraft and technical judgment that feeds directly into MDA test event planning, ensuring collection requirements are met and sensor performance is properly characterized.
        Responsibilities:

        Responsibilities

        • Apply PIR exploitation tradecraft and structured analytic workflows to process, characterize, and report on infrared sensor data and events.
        • Perform IR sensor operations support, including data quality review, sensor performance assessment, and exploitation of thermal/spectral signatures.
        • Conduct IR signature phenomenology analysis to distinguish, classify, and characterize target events (e.g., missile launches, plumes, thermal anomalies) from background and false alarms.
        • Apply space-based remote sensing principles to support tasking, collection, and exploitation across OPIR and related sensor architectures.
        • Develop, test, and refine algorithms for signal processing and automated/semi-automated data exploitation workflows.
        • Plan and execute field test events and data collections, coordinating sensor tasking, ground truth collection, and post-event data capture.
        • Perform advanced data analysis and signal processing on multi-INT datasets to support technical intelligence assessments.
        • Integrate understanding of OPIR, GEOINT, and MASINT sensor systems and data products to support MDA test requirements, collection planning, and mission partner needs.
        • Produce and present technical intelligence assessments, briefings, and written products to NASIC leadership, mission partners, and national-level customers.
        • Coordinate with cross-functional teams (systems engineers, program management, other INT disciplines) to ensure exploitation workflows align with mission and program objectives.
        Requirements:

        Requirements

        • Active TS/SCI clearance (or ability to obtain/transfer) — required to start.
        • Bachelor's degree in a related technical field (Physics, Engineering, Math, Remote Sensing, or similar), or equivalent experience/military-DoD training in lieu of degree.
        • 5+ years of relevant work experience.
        • Demonstrated experience in PIR/OPIR exploitation, IR sensor data analysis, or related technical intelligence disciplines.
        • Working knowledge of IR signature phenomenology and space-based remote sensing concepts.
        • Experience with algorithm development/programming applied to sensor data exploitation or signal processing (e.g., MATLAB, Python, or similar).
        • Familiarity with field test planning, data collection execution, or sensor tasking