Today
Secret
Mid Level Career (5+ yrs experience)
Unspecified
Engineering - Systems
San Diego, CA (On-Site/Office)
About the role: As an AI/ML Subject Matter Expert at NAVWAR in San Diego, you'll help drive the innovation of autonomous, AI-enabled systems for the Naval Operational Architecture that supports distributed maritime operations. You will translate sensor-derived data into real-time decision triggers, supporting initiatives. Your contributions will play a pivotal role in enhancing the Navy’s command networks with AI-driven analysis, prioritizing speed, resilience, and operational superiority. In this mission-critical position, your expertise will help shape the future of autonomous naval warfare and analytic decision support.
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.
Required Skills and Experience:
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.
Preferred Skills and Experience:
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment
Understanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining
Experience with real-time systems and latency-sensitive applications in robotics or surveillance
Prior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions
Education and Certification Requirements:
Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 5 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).
Citizenship and Clearance requirements:
US Citizenship required.
No dual citizenship.
Active Secret clearance required; TS SCI clearance preferred
Location: San Diego, CA, NAVWAR
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development.
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.
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.
Required Skills and Experience:
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.
Preferred Skills and Experience:
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes) for scalable deployment
Understanding of ML Ops practices including CI/CD pipelines, model versioning, and automated retraining
Experience with real-time systems and latency-sensitive applications in robotics or surveillance
Prior work with defense, maritime, or aerospace systems, especially involving autonomy or ISR missions
Education and Certification Requirements:
Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field plus a minimum of 5 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).
Citizenship and Clearance requirements:
US Citizenship required.
No dual citizenship.
Active Secret clearance required; TS SCI clearance preferred
Location: San Diego, CA, NAVWAR
Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development.
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.
group id: RTX102692
