Job Number: R0243369
Computer Vision AI Engineer
The Opportunity:
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.
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
Secret clearance
Bachelor's degree in a Science, Technology, Engineering, or Mathematics (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 with developing in-space solutions
Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
TS/SCI 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; Secret clearance isrequired.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. 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 p
