{"schemaVersion":"jobsearcher.job.v1","id":"e541af2ea902a3eeea729880","url":"https://jobsearcher.com/jobs/e541af2ea902a3eeea729880","canonicalUrl":"https://jobsearcher.com/jobs/e541af2ea902a3eeea729880","title":"Computer Vision Software Engineer, Mid","description":"Job Number: R0242680\r\nComputer Vision Software Engineer, Mid\r\nThe Opportunity\r\nJoin a mission-focused 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 well-defined components of the technical solution.\r\nWhat You'll Work On\r\nDevelop and implement computer vision algorithms for target detection, characterization, and tracking across single and multisensor data\r\nBuild and maintain model training, evaluation, and deployment pipelines in Python or C++\r\nApply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems\r\nIntegrate classical estimation methods, such as Kalman-family filters with modern deep learning workflows to support real-time algorithm development\r\nContribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes\r\nCollaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments\r\nSupport the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance\r\nContribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets\r\nYou Have\r\n3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments\r\n1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures, such as DINO, CLIP, or SAM\r\nExperience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment\r\nExperience with GPU-accelerated workflows\r\nExperience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting real-time development needs\r\nActive TS/SCI clearance; willingness to take a polygraph exam\r\nBachelor's degree in a STEM field\r\nNice If You Have\r\nExperience in GPU programming, including CUDA or RAPIDS\r\nExperience developing synthetic modeling of kinematic target features\r\nExperience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach\r\nKnowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment\r\nMaster's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field\r\nClearance\r\nApplicants 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.\r\nCompensation\r\nSalary range 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 Boaz Allen's total compensation package for employees. This posting will close within 90 days from the posting date.\r\nCommitment to Non-Discrimination\r\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.\r\nJ-18808-Ljbffr","company":"Phase2 Technology","rawCompany":"phase2 technology","city":"Dayton","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:46:27.823Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Software Engineer, Mid","description":"Job Number: R0242680\r\nComputer Vision Software Engineer, Mid\r\nThe Opportunity\r\nJoin a mission-focused 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 well-defined components of the technical solution.\r\nWhat You'll Work On\r\nDevelop and implement computer vision algorithms for target detection, characterization, and tracking across single and multisensor data\r\nBuild and maintain model training, evaluation, and deployment pipelines in Python or C++\r\nApply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems\r\nIntegrate classical estimation methods, such as Kalman-family filters with modern deep learning workflows to support real-time algorithm development\r\nContribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes\r\nCollaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments\r\nSupport the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance\r\nContribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets\r\nYou Have\r\n3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments\r\n1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures, such as DINO, CLIP, or SAM\r\nExperience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment\r\nExperience with GPU-accelerated workflows\r\nExperience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting real-time development needs\r\nActive TS/SCI clearance; willingness to take a polygraph exam\r\nBachelor's degree in a STEM field\r\nNice If You Have\r\nExperience in GPU programming, including CUDA or RAPIDS\r\nExperience developing synthetic modeling of kinematic target features\r\nExperience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach\r\nKnowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment\r\nMaster's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field\r\nClearance\r\nApplicants 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.\r\nCompensation\r\nSalary range 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 Boaz Allen's total compensation package for employees. This posting will close within 90 days from the posting date.\r\nCommitment to Non-Discrimination\r\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:46:27.823Z","dateModified":"2026-07-04T02:46:27.823Z","hiringOrganization":{"@type":"Organization","name":"Phase2 Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dayton","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e541af2ea902a3eeea729880"},"url":"https://jobsearcher.com/jobs/e541af2ea902a3eeea729880"}}