PED Integration Dataflow Engineer

Description

Founded in 2009, RSC2, Inc. is a Small Business Administration (SBA) Certified HUBZone Professional Services company headquartered in Baltimore, Maryland. RSC2 provides breakthrough expertise, support services, and technologies to make operations, programs and systems of record perform better. Our professional staff is trained to provide world‑class services to all types of customers. We uphold the integrity and quality of our work so you can expect only the best from us.

We are seeking a PED Integration/Dataflow Engineer to support the Army’s Product Director – Sensors Aerial Intelligence (PD SAI) within PEO IEW&S, with a primary focus on the High Accuracy Detection and Exploitation System (HADES) program. In this role, you will design and integrate end‑to‑end PED architectures and dataflows that connect manned and unmanned airborne ISR sensor payloads to ground intelligence networks, ensuring timely, secure, and reliable delivery of ISR data to analysts and commanders.

The position requires strong software engineering skills to monitor mission user interfaces and extract real‑time data from enterprise systems, including data logging, telemetry extraction, scripting, and developing tools that pull data from databases or services to support intelligence workflows and mission execution. You will work closely with government engineers, program managers, and industry partners to ensure PED solutions meet operational requirements and interoperate across the Army’s intelligence enterprise.

• PED Architecture Design:
  Develop and implement robust PED system architectures for various AISR platforms. Define how high‑volume sensor data (e.g. full‑motion video, EO/IR imagery, SIGINT feeds) will be routed, processed, and disseminated from airborne sensors to ground exploitation systems.
• Ensure the architecture is scalable, secure, and compliant with Army standards for multi‑domain intelligence sharing.
• Dataflow Engineering:
  Engineer and optimize data pipelines and networks for real‑time ISR data distribution. This includes selecting appropriate data transfer protocols, network configurations (satellite, radio, and terrestrial links), and data formats to guarantee low‑latency, high‑reliability delivery of intelligence products.
• System Integration & Testing:
  Integrate airborne sensor outputs with ground‑based processing and exploitation systems (such as Distributed Common Ground System – Army) to enable end‑to‑end functionality.
• Support and sometimes lead system integration lab tests, field demonstrations, and flight test events to validate PED and dataflow performance under operational conditions. Troubleshoot issues in system interfaces or data flows, and work with developers/vendors to implement fixes or improvements.
• Provide engineering support during the fielding of new sensor payloads and PED capabilities to operational units.
• After deployment, assist in monitoring system performance and provide sustainment support, including recommending upgrades or adjustments to improve data flow, cybersecurity posture, or reliability.
• Work closely with government stakeholders and industry partners on a daily basis. Contribute to technical discussions, design reviews, and Integrated Product Teams (IPTs) to align PED integration solutions with mission needs and program schedules. Coordinate with system and software engineers, network architects, and cybersecurity specialists to address cross‑cutting concerns.
• Serve as a subject matter expert on PED infrastructure and data dissemination challenges, advising Army program managers and senior engineers on emerging issues and potential improvements.

• Active DoD Top Secret/SCI eligibility.
• A Master’s degree preferred Engineering or Computer Science.
• 8 years of experience in systems engineering, network engineering, or software integration for defense or intelligence systems.
• Prior experience with airborne ISR platforms or sensor/PED systems is highly desired; including experience developing or integrating systems for aerial imaging sensors, signals intelligence payloads, or intelligence analysis tools.
• Strong…