Computer Vision Software Engineer, Mid

Computer Vision Software Engineer, Mid The Opportunity 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 Join us. The world can’t wait. You Have: 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. 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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. 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