Computer Vision AI Engineer

Latitude; McLean (VA); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Paid leave and retirement programs

Tuition assistance

Job summary

Booz Allen is seeking an AI Developer specializing in computer vision for space solutions. You will train, test, deploy, and maintain models that learn from data, focusing on sensor fusion, target tracking, and real-time performance across embedded and fire-control systems.

The role requires deep learning for CV, Python/C++/Rust proficiency, and a Secret clearance, with opportunities to collaborate in a large ML community. Hybrid remote/work at Booz Allen sites.

Qualifications

• 4+ years of experience in sensor fusion and target tracking.
• Experience in deep learning for computer vision, including transformer-based models such as DINO, CLIP, or SAM.
• Experience in AI, data science, ML engineering, or software engineering.
• Secret clearance.
• Bachelor's degree.

Responsibilities

• Develop and deploy computer vision models for space solutions.
• Collaborate with cross-functional teams to implement sensor fusion and target tracking.
• Work with Python, C++, and Rust to build robust, real-time systems.
• Ensure robust, real-time performance in fire control and embedded environments.

Skills

Sensor fusion and target tracking

Deep learning for computer vision

AI, data science, ML engineering

Secret clearance

Education

Bachelor's degree

Master’s degree (nice to have)

Tools

Python

C++

Rust

CUDA

RAPIDs

Embedded systems programming

Job description

Job Description

Remote Work: Hybrid

Job Number: R0250957

Location: McLean,VA,US

Additional Locations:

• Aurora, Colorado, USA
• Chantilly, Virginia, USA
• Colorado Springs, Colorado, USA
• El Segundo, California, USA

Computer Vision AI Engineer

The Opportunity:

Booz Allen 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 AI, data science, and machine learning (ML) 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, 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 ML 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.

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.

Join us. The world can’t wait.

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
• Secret clearance
• Bachelor's degree

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 may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

• Our offerings 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.
• Full-time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people‑first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full‑time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Us

Booz Allen is an advanced technology company. We build commercial‑grade products and solutions for America’s most critical defense, civil, and national security priorities.

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.