Computational Imaging Engineer: Vision & Optics

MITRE; McLean (VA); On-site; USD 104,000 - 155,000; Full time

Job summary

MITRE’s CH&OS Department seeks a Computational Imaging Engineer to advance computer vision and image processing across large datasets. You will apply optics, ML, and scientific computing to validate new sensing solutions and support data collection efforts.

The role emphasizes on-site collaboration, lab work with camera systems, and interdisciplinary teamwork to deliver high-impact results for national security and public-interest missions.

Qualifications

• Minimum of 3 years of related experience or a master’s degree.
• Degree in Physics, Engineering, or a related field.
• Training, understanding, and research in optics, machine learning and image processing.
• Research experience in computer vision, especially data classification and analysis of large datasets.
• Experience with camera systems, optical alignment, and microscopy.
• Ability to evaluate technologies and communicate potential/limits of capabilities.
• Strong written and oral communication for technical/nontechnical audiences.
• Ability to work with a team on government challenges.

Responsibilities

• Process and analyze large image-based datasets across disciplines.
• Develop computer vision algorithms and ML models for imaging tasks.
• Assist in camera calibration, optical alignment, and microscopy experiments.
• Integrate new sensing solutions with data collection efforts.
• Prepare technical reports, proposals, and presentations for stakeholders.

Skills

Python

MATLAB

Computer vision

Machine learning

Optics

Data analysis

Education

Master's degree in Physics or Engineering

Tools

Camera systems

Photogrammetry pipelines

LiDAR data processing

Camera calibration

Job description

MITRE’s CH&OS Department seeks a Computational Imaging Engineer to advance computer vision and image processing across large datasets. You will apply optics, ML, and scientific computing to validate new sensing solutions and support data collection efforts.

The role emphasizes on-site collaboration, lab work with camera systems, and interdisciplinary teamwork to deliver high-impact results for national security and public-interest missions.