Remote Computer Vision AI Engineer — Space Solutions
Wahpeton, Richland County, North Dakota, 58075, USA
Listed on 2026-05-31
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Computer Vision AI Engineer
Booz Allen Hamilton is seeking an innovative and experience d AI Develop er spe cia lizing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artifi cia l intelligence, 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, 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.
WhatYou’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 Rus t.
- 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 Rus t.
- 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 artifi cia l intelligence, data science, machine learning engineering, or sof tware engineering
- Experience with develop ing technical solutions using Python, C++, or Rus t
- Bachelor's degree in Science, Technology, Engineering, or Mathematics
- Experience with embedded systems programming in C, C++, or Rus t
- Experience in GPU programming, including CUDA or RAPIDs
- Experience with develop ing in-space solutions
- Knowledge of modern sof tware design patterns, including micro‑service design and orchestration in Kubernetes deployment
- TS/SCI clearance
- Master’s degree in Computer Science, Artifi cia l Intelligence, or a related field
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.
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 $ (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.
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.
Work Model- 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite:
If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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