Senior Remote Sensing Software Engineer

Jobtailor

Dayton (OH)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Jobtailor in Dayton, OH seeks an experienced senior engineer to architect EO/IR remote sensing systems and lead ML-driven anomaly detection and multi-sensor fusion projects.

The role requires 8+ years in GEOINT or related fields, strong Python/C++/CUDA skills, and experience with CI/CD pipelines in Kubernetes/Docker environments. A TS/SCI clearance is preferred.

Qualifications

  • 8+ years of experience in remote sensing, image or signal processing, or GEOINT data exploitation.
  • Experience with orbital mechanics, satellite characterization, domain-specific applications or SDA operational workflows.
  • Experience with Python, scientific Python packages or other object-oriented programming languages such as C++ or JavaScript.
  • Experience architecting with large-scale software environments such as CUDA, HPC or cloud.
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification.
  • Experience with administration of CI/CD pipelines using Kubernetes, Docker, or Jenkins.
  • Active TS/SCI clearance; willingness to take a polygraph exam.
  • Bachelor’s degree in a STEM field.

Responsibilities

  • Architect end-to-end remote sensing processing systems for EO / IR missions.
  • Lead development of radio metric and spectral response models.
  • Oversee advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement.
  • Direct ML-based anomaly detection, behavior classification, and object discrimination frameworks.
  • Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data using Bayesian or ML-based methods.
  • Lead trajectory estimation and 3D kinematic modeling, including IOD, parallax exploitation, and uncertainty quantification.
  • Architect scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms.
  • Mentor junior engineers and help set technical road maps in collaboration with client and mission leadership.

Skills

Remote sensing
Image processing
GEOINT
ML systems
Python
C++
CUDA
HPC
Cloud platforms
CI/CD
Mentoring

Education

Bachelor's degree in STEM

Tools

Kubernetes
Docker
Jenkins
CUDA

Job description

Responsibilities
  • Architect end-to-end remote sensing processing systems for EO / IR missions
  • Lead development of radio metric and spectral response models
  • Oversee advanced imaging algorithms including multi-frame super-resolution, deconvolution, target phenomenology detection, and low-SNR enhancement
  • Direct ML‑based anomaly detection, behavior classification, and object discrimination frameworks
  • Design multi-sensor fusion pipelines integrating GEOINT, Radar, RF, and optical data using Bayesian or ML-based methods
  • Lead trajectory estimation and 3D kinematic modeling, including IOD, parallax exploitation, and uncertainty quantification
  • Architect scalable scientific computing solutions using Python, C++, CUDA, HPC clusters, or cloud-native platforms
  • Mentor junior engineers and help set technical road maps in collaboration with client and mission leadership
Requirements
  • 8+ years of experience in remote sensing, image or signal processing, or GEOINT data exploitation
  • Experience with orbital mechanics, satellite characterization, Domain-specific applications or SDA operational workflows
  • Experience with Python, scientific Python packages or other Object-oriented programming languages such as C++ or JavaScript
  • Experience architecting with large-scale software environments such as CUDA, HPC or cloud
  • Experience with ML systems for imagery processing, target detection, tracking, or object classification
  • Experience with administration of continuous integration / continuous deployment (CI / CD) pipelines using Kubernetes, Docker, or Jenkins
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree in a STEM field
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