Remote Sensing OPIR Engineer - #898

Posted 22 Days Ago
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Hiring Remotely in Dayton, OH, USA
In-Office or Remote
Senior level
Aerospace
The Role
Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.
Summary Generated by Built In

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: 

 

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.
 

Skills Required

  • Active TS/SCI security 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, AI/ML applications, and target-system phenomenology
  • Detailed experience with OPIR data formats and processing pipelines
  • Advanced Python development skills
  • Strong analytical and problem-solving skills involving sensor performance, data anomalies, and software issues
  • 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
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The Company
HQ: Stafford, VA
30 Employees
Year Founded: 2015

What We Do

AIS is dedicated to providing exceptional technical and management services aimed at optimizing our client’s performance in the Federal, National Security, Department of Defense, and Homeland Security Mission Areas

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