Senior Remote Sensing OPIR Engineer - #896
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 19d ago
The date the source published, not the day we noticed it (2026-08-27). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $161.0k–209.7k/yr
Middle 50% of 746 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 7d ago · last seen 1h ago
The listing
Senior Remote Sensing OPIR Engineer - #896
Clearance Required: TS/SCI
Minimum Years’ Experience: 12 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or related mission areas
Dayton, Ohio - 100% onsite
Overall Assignment Description:
Allen Integrated Solutions is seeking a highly skilled Senior Remote Sensing 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.
- Master’s degree in physics, computer engineering, space systems, or a related technical field.
- At least 12 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or related mission areas.
- 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
- Ph.D. in physics, computer engineering, space systems, or a related technical field.
- Experience collaborating with NASIC or other Intelligence Community organizations.