Retail Pharmacy Modernization: Lead Director, Software

Cvs Health; Denver (CO); On-site; USD 90,000 - 120,000; Full time

Job summary

Unknown is seeking a Mid-level Remote Sensing Software Engineer to develop imaging and analytics capabilities for mission-critical programs in Dayton, Ohio. The role emphasizes radiometric modeling, sensor geometry, and advanced image processing with ML components.

The ideal candidate will design and implement Python-based pipelines, work with astrodynamics and ML engineers, and maintain reproducible development environments for large sensor datasets.

Qualifications

• Active TS/SCI clearance required.
• Bachelor's degree in a related field.
• 4+ years of experience in remote sensing or image processing.
• Experience with software development for radiometric calibration or sensor phenomenology.
• Strong Python programming skills and OO design.

Responsibilities

• Develop software for radiometric modeling and sensor geometry.
• Build ML capabilities for anomaly detection and object identification.
• Create analytics pipelines in Python for scientific computing.
• Collaborate with experts in astrodynamics, ML, and ops teams.
• Maintain scalable, reproducible development environments.

Skills

Python

NumPy

SciPy

OpenCV

xarray

PyTorch

TensorFlow

Object-Oriented Programming

GitLab CI/CD

Education

Bachelor's degree

Master's degree

Tools

HDF5

cloud object storage

Job description

TS/SCI Remote Sensing Software Engineer (Mid)

Job Description
An employer in the Dayton, Ohio area is seeking a Remote Sensing Software Engineer (Mid level) with an active TS/SCI clearance for a contract-to-hire opportunity. This individual will be responsible for developing advanced remote sensing and OPIR processing capabilities that leverage imaging technologies, physics-based modeling, and AI/ML to transform raw sensor data into actionable mission insights. The ideal candidate will design and develop software solutions for radiometric modeling, sensor observation geometry, and advanced image processing, including motion compensation, multi-frame alignment, super-resolution, and imagery calibration. Responsibilities also include building machine learning capabilities for anomaly detection, object classification, and target identification, developing scientific Python-based analytics pipelines, supporting orbital modeling activities, and maintaining scalable, reproducible development environments. This individual will collaborate closely with astrodynamics subject matter experts, operators, and machine learning engineers to deliver integrated capabilities supporting mission-critical objectives. This position requires onsite support five days per week in the Dayton, Ohio area. Candidates must possess an active TS/SCI clearance and be willing to undergo a polygraph.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements

• Active TS/SCI clearance (Willingness to take a polygraph)


• Bachelor's degree


• 4+ years of experience


• Experience in domain research, image processing, or data exploitation


• Experience designing, modifying, developing, writing, and implementing software applications


• Strong Object-Oriented Programming experience (Python)


• Experience with scientific Python packages (NumPy or SciPy or OpenCV or xarray)


• Experience working with large sensor datasets (HDF5 or cloud object storage) Master's Degree


• Experience with ML frameworks (PyTorch or TensorFlow)


• Experience with sensor phenomenology, radiometric calibration, or signature interpretation


• Experience with super-resolution, deblurring, scene exploitation, or resolved feature extraction


• Experience with uncertainty quantification, Kalman filtering, or tracking algorithms


• Experience with AI-augmented development workflows or agentic tools


• Experience with GitLab-based CI/CD workflows