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Allen Integrated Solutions

Sensing OPIR Engineer – #898

AI Summary
This onsite Remote Sensing OPIR Engineer role supports NGA-related infrared sensing and space-based missile-warning capabilities in Dayton, Ohio. The engineer will prototype OPIR data-processing algorithms, diagnose pipeline and sensor-performance issues, and transition analytical capabilities into operational environments. The position requires an active TS/SCI clearance, at least five years of EO/IR algorithm-development experience, and advanced Python skills. Success depends on deep knowledge of EO/IR signal processing, OPIR data formats, infrared phenomenology, and collaboration with defense and intelligence-community stakeholders.
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Salary
Undisclosed
Department
Software Engineering
Employment
Full Time
Experience
Open level
Published
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13 Dec 2026
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Opportunity details

About this role.

Remote Sensing OPIR Engineer – #898

Clearance Required: TS/SCI

Minimum Years’ Experience: 5 years of experience in EO/IR algorithm development

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 the National Geospatial-Intelligence Agency (NGA) in infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and remote-sensing software development.

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

  • Prototype and develop advanced OPIR data-processing algorithms and support their transition into operational environments.
  • Evaluate and troubleshoot data-processing pipelines, identify anomalies, and coordinate remediation strategies.
  • Support the development of white papers, technical documentation, and technology-transition plans.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies.

Required Qualifications

  • Active TS/SCI clearance.
  • Bachelor’s degree in computer engineering, physics, computer science, or a related technical field.
  • At least five years of experience in EO/IR algorithm development.
  • Advanced understanding of EO/IR signal processing, artificial intelligence and machine learning applications, and target-system phenomenology.
  • Detailed experience with OPIR data formats and processing pipelines.
  • Advanced Python development skills.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software problems.

Desired Qualifications

  • Direct experience performing OPIR analysis.
  • Master’s degree in computer engineering, physics, computer science, or a related technical field.
  • Experience collaborating with NGA, NASIC, or other Intelligence Community organizations.

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 demands specialized OPIR and EO/IR expertise, an active TS/SCI clearance, and work on mission-critical sensing systems. Candidates must solve complex algorithmic, software, and sensor-data problems while operating in a defense-intelligence environment.

Salary analysis

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

Estimated job median (per year)Market rate
$155,000
US market range (per year)$130k–$185k
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 cadence and USD market estimate are inferred from the full-time, senior-level cleared engineering role in Dayton, Ohio; the estimated annual market range is $130,000 to $185,000, with a midpoint of $155,000.

Core skills

Skills and capabilities most closely associated with this opportunity.

OPIR analysisEO/IR algorithm developmentInfrared signal processingPython developmentRemote sensingData-processing pipelinesSensor performance analysisMachine learningArtificial intelligenceInfrared phenomenologyTechnical documentationAlgorithm prototypingData anomaly troubleshootingTS/SCI clearance
Sample interview questions
Describe an EO/IR algorithm you developed and how you validated its performance.

I would explain the operational objective, input data characteristics, algorithm design, and validation metrics. I would also describe testing against representative datasets, analysis of false positives and false negatives, and the improvements made before deployment.

How would you troubleshoot an anomaly in an OPIR data-processing pipeline?

I would first isolate the affected pipeline stage by reviewing telemetry, data quality checks, logs, and recent configuration changes. I would compare expected and observed outputs, reproduce the issue with controlled inputs, identify the root cause, and document and test remediation before operational release.

What considerations are important when applying machine learning to EO/IR data?

Key considerations include sensor calibration, labeling quality, class imbalance, environmental variability, model interpretability, and robustness to changing collection conditions. I would also ensure the model is evaluated using mission-representative data and integrated with appropriate monitoring.

How do you transition a prototype analytical capability into an operational environment?

I would establish clear requirements, interfaces, performance criteria, and test plans early. After validating the prototype, I would harden the software, automate testing and deployment where permitted, produce technical documentation, and coordinate acceptance with operational users and stakeholders.

How do you communicate complex technical findings to government and intelligence-community partners?

I tailor the level of detail to the audience while preserving accuracy and mission relevance. I use concise visualizations, clearly state assumptions and limitations, explain operational impact, and provide actionable recommendations supported by traceable evidence.

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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