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Job description
Your growth matters to us - explore our career development opportunities.
BE EMPOWERED TO SUCCEED
Connect with others in our people-first culture and enhance our collective ingenuity.
SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.
YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.
THE OPPORTUNITY
Join a mission‑focused engineering team building advanced computer vision, 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
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 degreein 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 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
Salary at Booz Allen is determined by various factors, including location, the individual’s 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). This posting will close within 90 days from the Posting Date.
Benefits
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 employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
EEO Statement
All 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.
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Worksite address
dayton, OH, 45444, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.