Booz Allen Hamilton is seeking to solve missile warning problems in near-real-time by leveraging artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.
Requirements
- Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
- Experience in sensor fusion and target tracking
- Experience with developing technical solutions using Python, C++, or Rust
- Experience with embedded systems programming in C, C++, or Rust
- Experience in GPU programming, including CUDA or RAPIDs
- Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
- Experience with developing in-space solutions
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.
- Apply best-fit ML algorithms and technologies to contribute to the direction of mission-critical solutions.
- Collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions.
Other
- Ability to obtain a Secret clearance
- Bachelor's degree in Science, Technology, Engineering, or Mathematics
- Master’s degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of experience in artificial intelligence, data science, machine learning engineering, or software engineering
- Must be on camera during interviews and assessments
