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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid Computer Vision Software Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $69,300.0 - $158,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Software Design Patterns, Geospatial Intelligence, Python (Programming Language), Kinematics, Machine Learning, Sensor Fusion, Delivery Pipeline, Multi-Agent Systems, Deep Learning, Gpu Programming, Kubernetes, Information Technology, Operational Systems, GPT, Data Pipelines, Unsupervised Learning - **Published:** June 22, 2026 - **Apply:** https://www.dice.com/job-detail/590449df-fc16-4275-bf08-6211f14113ea ## About the Role * 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments * 1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures, such as DINO, CLIP, or SAM * 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, supporting real-time development needs * Active TS/SCI clearance; willingness to take a polygraph exam * Bachelor's degree in a STEM field Nice If You Have: * Experience in GPU programming, including CUDA or RAPIDs * Experience with developing synthetic modeling of Kinematic target features * Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach * Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment * Master's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field ## Description Join a mission-focused engineering team building advanced computer vision (CV), multi-sensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a Mid-Level Computer Vision Engineer, you will design, implement, and optimize CV algorithms and deep learning pipelines, contributing to operational systems used across national security missions. You will work closely with senior engineers while owning well-defined components of the technical solution. What You'll Work On: * Develop and implement computer vision algorithms for target detection, characterization, and tracking across single- and multi-sensor data * Build and maintain model training, evaluation, and deployment pipelines in Python or C++ * Apply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems * Integrate classical estimation methods, such as Kalman-family filters with modern deep learning workflows to support real-time algorithm development * Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes * Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments * Support the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance * Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets ## Related Videos - [How I built my own intelligent Robot Arm from Scratch](https://www.wearedevelopers.com/videos/100097-how-i-built-my-own-intelligent-robot-arm-from-scratch) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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