Computer Vision AI Engineer

Booz Allen Hamilton; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Booz Allen Hamilton is seeking a Computer Vision AI Engineer to join our space solutions team. You will develop and deploy models that learn from data, focusing on real‑time CV applications and mission‑critical systems.

You will work with cross‑functional teams across Python, C++, and Rust, applying transformer‑based CV approaches and sensor fusion to deliver robust AI solutions for space missions.

Qualifications

• 4+ years of experience in sensor fusion and target tracking.
• Experience in deep learning for computer vision, including transformer models (e.g., DINO, CLIP, SAM).
• Experience in AI, data science, ML engineering, or software engineering.
• Bachelor's degree in a STEM field.

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.

Skills

Sensor fusion

Target tracking

Deep learning for CV

Python

C++

Rust

Education

Bachelor's degree in STEM

Tools

CUDA

RAPIDS

Embedded systems programming (C/C++/Rust)

Job description

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Computer Vision AI Engineer

Booz Allen is seeking an innovative AI developer specializing in Computer Vision to join our growing team for space solutions. In this role, you will leverage your expertise in AI, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. You will collaborate with cross‑functional teams to develop and deploy advanced computer vision models and systems that drive mission success. In this role, you’ll contribute to the direction of mission‑critical solutions by applying the best‑fit ML algorithms and technologies, and you’ll work within a large community of ML engineers across the company, solving missile‑warning problems in near‑real‑time.

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, 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.

You Have

• 4+ 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 AI, data science, ML engineering, or software engineering.
• Bachelor's degree in a STEM field.

Nice If You Have

• Experience with embedded systems programming in C, C++, or Rust.
• Experience in GPU programming, including CUDA or RAPIDs.
• Experience developing space solutions.
• Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment.
• TS/SCI clearance.
• Master’s degree in a CS or AI field.

Clearance

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our benefits 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. Self‑employment details: mandatory mandatory mandatory? 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