Senior Computer Vision Software Engineer

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 multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the develop ment of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.

You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user-centric 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 develop ing computer vision algorithms for detection, tracking, or multi-sensor 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 GPU-accelerated develop ment 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 met hodology, extreme programming, sof tware engineering, product management, and sof tware products, and with acquiring client requirements and resolving workflow problems through automation optimization
• Knowledge of classical tracking or estimation met hods, such as Kalman or extended filters, to support real-time algorithm develop ment
• Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
• TS/SCI clearance
• Bachelor's degree in a STEM field

Nice If You Have:

• Experience with GPU-accelerated deep learning, including CUDA kernel develop ment, TensorRT optimization, RAPIDS, or distributed multi-GPU training
• Experience develop ing 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 multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object 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 real-time 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 multi-modal encoders
• Experience with cloud ML platforms such as AWS Gov Cloud, Azure ML, or on-premesis 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

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