Computer Vision Software Engineer, Mid

Job Number: R0243287 Computer Vision Software Engineer, Mid The Opportunity Join a missionfocused engineering team building advanced computer vision (CV), multisensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a MidLevel 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 welldefined 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 multisensor data - Build and maintain model training, evaluation, and deployment pipelines in Python or C++ - Apply deep learning approaches, including transformerbased architectures such as DINO, CLIP, or SAM, to image understanding problems - Integrate classical estimation methods, such as Kalmanfamily filters with modern deep learning workflows to support realtime algorithm development - Contribute to GPUaccelerated model development using CUDA, RAPIDS, or vendorprovided inference runtimes - Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or realtime environments - Support the implementation of microservicebased 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 sensorbased analytics in remote sensing or GEOINTrelevant environments - 1+ years of experience applying deep learning to CV problems using transformerbased, selfsupervised, 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 GPUaccelerated workflows - Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting realtime development needs - Active TS/SCI clearance; willingness to take a polygraph exam - Bachelor's degreein a STEM field Nice If You Have: - Experiencein GPU programming, including CUDA or RAPIDs - Experiencewithdeveloping synthetic modeling of Kinematic target features - Experience with AIaugmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach - Knowledgeof modernsoftware design patterns, including micro-service design and orchestration in Kubernetes deployment - Master's degreein 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. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employ