Senior EO/IR Sensing Software Architect

CFD Research Corporation; Dayton (OH); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

401(k) matching

Employee Stock Ownership Plan (ESOP)

Health, vision, and dental insurance

Paid leave and disability coverage

Job summary

CFD Research Corporation is seeking a Senior Remote Sensing Software Engineer to architect advanced SDA and remote sensing pipelines. You will guide technical direction and lead multi-disciplinary teams building high-fidelity space observation analytics.

This role focuses on imaging physics, ML-based inference, and multi-sensor fusion, leveraging Python, C++, CUDA, and HPC or cloud-native platforms to deliver scalable, cutting-edge tools for space observation missions.

Qualifications

• 8+ years of experience in remote sensing, image processing, or GEOINT data exploitation.
• Experience with orbital mechanics, satellite characterization, or SDA workflows.
• Proficiency in Python and C++ programming; familiarity with CUDA or similar accelerate tech.

Responsibilities

• Architect end-to-end remote sensing processing systems for EO/IR missions.
• Lead development of radiometric and spectral models.
• Oversee imaging algorithms including super-resolution and deconvolution.
• Direct ML-based anomaly detection, behavior classification, and object discrimination frameworks.
• Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data.
• Mentor junior engineers and help set technical roadmaps with leadership.

Skills

Remote sensing

Image processing

GEOINT data

ML for imagery

Python

C++

Cloud/HPC

Multi-sensor fusion

Education

Bachelor’s degree in related STEM field

Master’s or Ph.D. in Physics/Math/CS/SE

Tools

CUDA

HPC

Cloud platforms

Object-oriented programming

Job description

CFD Research Corporation is seeking a Senior Remote Sensing Software Engineer to architect advanced SDA and remote sensing pipelines. You will guide technical direction and lead multi-disciplinary teams building high-fidelity space observation analytics.

This role focuses on imaging physics, ML-based inference, and multi-sensor fusion, leveraging Python, C++, CUDA, and HPC or cloud-native platforms to deliver scalable, cutting-edge tools for space observation missions.