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 GEOINTmission 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, and 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.
Join us. The world can't wait.
You Have:
6+ years of experience developing computer vision algorithms for detection, tracking, or multisensor fusion in remote sensing or GEOINT environments
2+ years of experience applying deep learning to computer vision problems using transformerbased or selfsupervised architectures
Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
Knowledge of GPUaccelerated development using CUDA, RAPIDS, or GPU programming frameworks
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
Active TS/SCI clearance; willingness to take a polygraph exam
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
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 latencyconstrained operational environments
Experience with transformerbased vision architectures beyond DINO, CLIP, or SAM such as ViT variants or selfsupervised multimodal encoders
Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or onpremises GPU clusters
Knowledge of geosp
