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Allen Integrated Solutions

Sensing OPIR Engineer – Mid Level #900

AI Summary
This mid-level Remote Sensing OPIR Engineer supports NASIC mission areas involving infrared sensing, space-based missile warning, sensor modeling, and data exploitation. The role analyzes OPIR and SBIRS data, develops processing algorithms, investigates phenomenology, and resolves sensor or workflow anomalies. It requires an active TS/SCI clearance, a relevant technical degree, and at least six years of related EO/IR, OPIR, or remote-sensing experience. The engineer will collaborate with Department of Defense, Intelligence Community, industry, and research stakeholders while producing CONOPS and technical documentation.
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USA
Salary
Undisclosed
Department
Software Engineering
Employment
Full Time
Experience
Midweight
Published
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13 Dec 2026
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Opportunity details

About this role.

Remote Sensing OPIR Engineer – Mid Level #900

Clearance Required: TS/SCI

Minimum Years’ Experience: 6 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or a related mission area

Dayton, Ohio – 100% onsite

Overall Assignment Description:

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Allen Integrated Solutions is seeking a highly skilled Remote Sensing OPIR Engineer to support National Air and Space Intelligence Center (NASIC) mission areas involving infrared sensing, space-based missile warning systems, sensor modeling, advanced data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems engineering, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and software development for sensor exploitation.

This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.

Responsibilities

  • Conduct analysis, exploitation, and modeling of infrared and OPIR sensor data, including Space-Based Infrared System (SBIRS) data.
  • Develop, prototype, and implement advanced data-processing algorithms using Python, MATLAB, and other analytical environments.
  • Investigate sensor and target phenomenology and develop test plans, sensor-collection scenarios, and experiments to address complex detection and tracking challenges.
  • Evaluate and troubleshoot data-processing workflows, identify anomalies or software-logic issues, and coordinate remediation strategies.
  • Support the development of concepts of operations (CONOPS), white papers, technical documentation, and transition plans for emerging sensor capabilities and processing architectures.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies to evaluate and integrate emerging sensing and exploitation technologies.

Required Qualifications

  • Active TS/SCI clearance.
  • Bachelor’s or master’s degree in physics, computer engineering, space systems, or a related technical field.
  • At least six years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or a related mission area.
  • Demonstrated experience with OPIR data formats, processing workflows, or SBIRS exploitation tools.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software-logic problems.

Desired Qualifications

  • Experience collaborating with NASIC or other Intelligence Community organizations.
  • Experience developing CONOPS, technical documentation, or training materials.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role combines advanced EO/IR and OPIR domain expertise with algorithm development, sensor-performance analysis, and classified mission requirements. An active TS/SCI clearance and six years of specialized experience indicate a high technical and operational bar.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$135,000
US market range (per year)$115k–$160k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly period and USD market estimate are inferred from the mid-level, full-time US defense engineering context, Dayton location, TS/SCI requirement, and specialized OPIR expertise.

Core skills

Skills and capabilities most closely associated with this opportunity.

OPIR analysisEO/IR systems engineeringRemote sensingSBIRS data exploitationInfrared phenomenologySensor modelingPythonMATLABAlgorithm developmentData processingSensor performance analysisTest plan developmentCONOPS developmentTechnical documentationTS/SCI clearance
Sample interview questions
How have you used EO/IR or OPIR data to assess sensor or target behavior?

I begin by validating data quality, metadata, calibration assumptions, and collection context. I then apply phenomenology-informed analysis to isolate relevant signatures, compare results with expected sensor performance, and document confidence, limitations, and recommended follow-up actions.

Describe your approach to developing an algorithm for a new sensor-data exploitation problem.

I define the mission objective and measurable success criteria, characterize the available data, and build a reproducible baseline in Python or MATLAB. I test candidate approaches against representative scenarios, evaluate accuracy and robustness, then package the selected method with documentation, validation results, and operational considerations.

What steps would you take when an OPIR processing workflow produces anomalous results?

I would first reproduce the issue and trace inputs, configuration changes, intermediate outputs, and software logs. I would distinguish between data-quality, sensor, and algorithmic causes, test hypotheses using controlled cases, and coordinate remediation with the responsible engineering and mission teams.

How do you translate complex sensing findings into a CONOPS or technical white paper?

I tailor the message to the decision audience while preserving technical accuracy. I clearly describe the mission problem, assumptions, workflow, performance findings, risks, and recommended implementation or transition path, supported by concise visuals and traceable evidence.

How do you collaborate effectively across government, intelligence, industry, and research organizations?

I establish common objectives, handling constraints, interfaces, and decision criteria early. I communicate findings clearly, maintain disciplined documentation, solicit technical review, and ensure that recommendations are actionable for both operational users and development teams.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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