PMAT is looking to solve the business and technical problem of innovating autonomous, AI-enabled systems for the Naval Operational Architecture that supports distributed maritime operations by translating sensor-derived data into real-time decision triggers, enhancing the Navy’s command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority.
Requirements
- Six (6) or more years of experience and a strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches.
- Proficiency with Python and Bash scripting.
- Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation.
- Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms.
- Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc.
- Comfortable operating in Linux environments for development and deployment tasks.
- Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment
Responsibilities
- Design and implement computer vision algorithms for object detection, tracking, and environmental perception.
- Analyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar.
- Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services.
- Write efficient Python code and shell scripts for deployment and automation tasks.
- Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations.
- Collaborate with cross-functional teams including ML engineers, software developers, and systems integrators.
Other
- Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 6 years of AI/ML experience in defense or intelligence environments.
- OR a Bachelor’s degree in the above fields plus at least 8 years of relevant defense-oriented AI/ML experience (e.g., modeling, operational deployment, systems integration).
- US Citizenship required.
- No dual citizenship.
- Active Secret clearance required; TS SCI clearance preferred
