Computer Vision AI Engineer

Booz Allen Hamilton
McLean, VA / Chantilly, VA / El Segundo, CA2026-04-23Full time

About the job

Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. The successful candidate will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.

Responsibilities

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, C++, and Rust.

Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.

Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Qualifications

Minimum

7+ years of experience in sensor fusion and target tracking

Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM

Experience in artificial intelligence, data science, machine learning engineering, or software engineering

Experience with developing technical solutions using Python, C++, or Rust

Ability to obtain a Secret clearance

Bachelor's degree in Science, Technology, Engineering, or Mathematics

Preferred

Experience with embedded systems programming in C, C++, or Rust

Experience in GPU programming, including CUDA or RAPIDs

Experience with developing in-space solutions

Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment

Secret clearance

Master’s degree in Computer Science, Artificial Intelligence, or a related field