Computer Vision AI Engineer
Phase2 Technology, Colorado Springs, CO, United States
Job Number: R0238503
Computer Vision AI Engineer
The Opportunity:
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.
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.
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
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
Nice If You Have
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
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Salary range: $99,000.00 to $225,000.00 (annualized USD). See Booz Allen's benefits for details on health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
Posting will close within 90 days from the posting date.
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.
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Computer Vision AI Engineer
The Opportunity:
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.
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.
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
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
Nice If You Have
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
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Salary range: $99,000.00 to $225,000.00 (annualized USD). See Booz Allen's benefits for details on health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.
Posting will close within 90 days from the posting date.
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.
#J-18808-Ljbffr