Computer Vision AI Engineer

Booz Allen Hamilton

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
McLean, VAChantilly, VAEl Segundo, CAAurora, COColorado Springs, CO
Employment
Full-time
Posted
76 days ago
Freshness
Confirmed live today
Closes
Nov 9, 2026

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Salary context

How this pay compares to similar roles

Similar $202k
$138k $268k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Computer Vision AI Engineer

The Computer Vision AI Engineer joins a team of space industry and AI professionals to develop mission-critical solutions for missile warning problems in near-real-time. You will train, test, deploy, and maintain models that learn from data, specifically focusing on deep learning computer vision models for sensor fusion and target tracking. Your daily work involves developing and maintaining Fire Control Systems and contributing to embedded systems architecture. You will utilize Python, C++, and Rust to design technical solutions while leveraging GPU programming through CUDA or RAPIDS to optimize performance. The role requires expertise in transformer-based models such as DINO, CLIP, or SAM. You will collaborate with multidisciplinary teams to implement robust, accurate applications within a complex space solutions domain.

What you'll do

  • Develop and implement deep learning computer vision models for sensor fusion and target tracking.
  • Design, develop, test, and deploy technical solutions using Python, C++, and Rust.
  • Develop and maintain Fire Control Systems for robust real-time applications.
  • Optimize computer vision application performance using GPU programming with CUDA or RAPIDS.
  • Contribute to the architecture and implementation of embedded systems programming in C, C++, or Rust.
  • Train, test, deploy, and maintain machine learning models that learn from data.

What we're looking for

  • 4+ years of experience in sensor fusion and target tracking.
  • Experience in deep learning for computer vision, including transformer-based models like DINO, CLIP, or SAM.
  • Experience in AI, data science, ML engineering, or software engineering.
  • Experience with embedded systems programming in C, C++, or Rust (preferred).
  • Experience in GPU programming, including CUDA or RAPIDS (preferred).
  • Experience developing space solutions (preferred).
  • Bachelor's degree.

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