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Computer Vision Software Engineer, SeniorPhase2 Technology • Dayton, Ohio, United States
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Computer Vision Software Engineer, Senior

Phase2 Technology
  • US
    Dayton, Ohio, United States
  • US
    Dayton, Ohio, United States
Jetzt Bewerben

Über

Job Number: R0242681
Computer Vision Software Engineer, Senior The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multisensor fusion algorithms supporting GEOINT mission workflows. You will lead the development of deep learning models, realtime tracking systems, and GPUaccelerated pipelines deployed in operational environments. You will shape nextgeneration tools that integrate imaging physics, ML-based behavior inference, and multisensor fusion.
You’ll join a collaborative technical delivery team where you’ll contribute to secure, reliable, usercentric tools that accelerate mission outcomes.
What You’ll Work On:
Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking
Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++
Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications
Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets
You Have:
6+ years of experience developing computer vision algorithms for detection, tracking, or multisensor fusion in remote sensing or GEOINT relevant environments
2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
Knowledge of GPUaccelerated development using CUDA, RAPIDS, or GPU programming frameworks
Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
Experience with Agile methodology, extreme programming, software engineering, product management, and with acquiring client requirements and resolving workflow problems through automation optimization
Knowledge of classical tracking or estimation methods, such as Kalman or extended filters, to support realtime algorithm development
Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multiGPU servers or cloud
TS/SCI clearance
Bachelor’s degree in a STEM field
Nice If You Have:
Experience with GPUaccelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multiGPU training
Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
Experience with advanced estimation, tracking, and fusion techniques such as joint multisensor registration, Bayesian fusion, particle filters, or deep multiobject tracking pipelines
Knowledge of geospatial data formats, sensor phenomenology, or remote sensing exploitation workflows
Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, Triton Inference Server, or similar
Experience building or optimizing microservice architectures or distributed systems for realtime data processing
Experience integrating CV models into edge, embedded, or latency‑constrained operational environments
Experience with transformer‑based vision architectures beyond DINO/CLIP/SAM such as ViT variants or self‑supervised multimodal encoders
Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on‑premises GPU clusters
Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field preferred; Doctorate degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field a plus
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 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
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 $112,800.00 to $257,000.00 (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.
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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  • Dayton, Ohio, United States

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  • English
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