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This role pays less than
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$151,862–$238,250
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At the midpoint, this role pays about
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$195k
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Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1688 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 904 roles with salary data.
The Computer Vision Software Engineer, Mid joins a mission-focused engineering team to build advanced computer vision, multi-sensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. You will design, implement, and optimize computer vision algorithms and deep learning pipelines for target detection, characterization, and tracking across single- and multi-sensor data. Daily tasks include building model training, evaluation, and deployment pipelines using Python or C++, and applying transformer-based architectures like DINO, CLIP, or SAM. You will integrate classical estimation methods, such as Kalman-family filters, with modern deep learning workflows. Technical requirements include experience with GPU-accelerated workflows using CUDA or RAPIDS, microservice-based inference pipelines, and containerized model deployments. This role solves complex image understanding problems and develops novel platform detection and tracking algorithms for national security missions.
Develop and implement computer vision algorithms for target detection, characterization, and tracking.
Build and maintain model training, evaluation, and deployment pipelines in Python or C++.
Apply deep learning approaches including transformer-based architectures like DINO, CLIP, or SAM.
Integrate classical estimation methods like Kalman filters with modern deep learning workflows.
Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes.
Support the implementation of microservice-based inference pipelines or containerized model deployments.
Architect and implement novel single and multi-sensor platform detection and track fusion algorithms.
What we're looking for
Bachelor's degree in a STEM field.
Active TS/SCI clearance and willingness to take a polygraph exam.
3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT environments.
1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures.
Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment.
Experience with GPU-accelerated workflows.
Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters.
Experience in GPU programming, including CUDA or RAPIDS (preferred).
Colorado Springs, CO+343 days ago
$77,500–$176,000
Computer Vision
Deep Learning
Python
Rust
C++
CUDA
RAPIDS
Kubernetes
DINO
CLIP
SAM
Sensor Fusion
Target Tracking
Embedded Systems
Artificial Neural Networks
Computer Vision
Deep Learning
Python
C++
Rust
CUDA
RAPIDS
Sensor Fusion
Target Tracking
DINO
CLIP
SAM
Embedded Systems
Kubernetes
ML Engineering
Data Science
Computer Vision
Deep Learning
Python
C++
Rust
CUDA
RAPIDS
Kubernetes
Sensor Fusion
Target Tracking
DINO
CLIP
SAM
Embedded Systems
ML Engineering
Data Science