AI and autonomy systems for national security and defense
MORSE deploys machine learning and autonomous systems for U.S. national security missions, with a tech stack spanning Python, C/C++, cloud (AWS/Azure/GCP), and specialized aerospace tools (PX4, Ardupilot, SolidWorks, MATLAB). The company is actively replacing Python with C/C++—a signal of movement toward real-time embedded and production-hardened systems—while hiring heavily in engineering (27 roles) with senior-heavy distribution, matching their focus on transitioning algorithms from research into fielded autonomous vehicles and mission-planning systems operating under strict computational and reliability constraints.
Notable leadership hires: Chief Engineer
MORSE is a Cambridge-based, employee-owned firm specializing in algorithm development, software systems, and integration for defense and aerospace applications. The company serves U.S. national security agencies and DoD programs with capabilities spanning machine learning, computer vision, autonomous vehicle mission planning, and manned/unmanned aerial vehicle design. Active projects include AI/ML decision systems for national security, real-time embedded transitions, and autonomous vehicle mission planning. The organization operates as an engineering-dominant consulting and integration firm, with 51–200 employees and a senior-skewed workforce.
Python, C/C++, AWS, Azure, GCP, Kubernetes, Docker, Terraform, CloudFormation, MATLAB, PX4, Ardupilot, SolidWorks, Altium, Apache Spark, MLflow, React, React Native, TypeScript, and Kotlin.
Core projects include transitioning algorithms to real-time embedded systems, AI/ML decision systems for national security, autonomous vehicle mission planning, pre-mission planning for novel aircraft, and algorithm evaluation and testing for AI models.
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