Jobs at Charles River Analytics

Lead research and development in Human-Computer Interaction and Human-Autonomy Teaming. Manage research teams, engage with clients, and develop user-centered design solutions.

Lead research in Human-Computer Interaction, managing teams to develop user-centric technology solutions and conducting studies on human-systems integration.

Develop and maintain human-centered AI software across the SDLC. Collaborate with PIs and cross-functional teams, track requirements in GitLab, produce API/docs, and implement deployable solutions using Python, databases, containerization, and cloud technologies in an Agile environment.

Lead and mentor engineering teams to architect and build user-focused web, desktop, and XR applications. Collaborate with UX researchers, engineers, and customers to design visualizations and interactions, manage full SDLC, support proposals, and guide technology selection and integration for DoD and commercial programs.

Customize and configure agent-based simulation backends and AI agent training for military wargaming. Define analytical problems with customers, implement agent behaviors and decision logic, deploy and maintain containerized systems, evaluate agent outputs, debug traces, document DSLs and limitations, and translate field needs into product requirements and acceptance criteria.

Configure, adapt, troubleshoot, and enhance military simulation systems to support wargaming, experimentation, analysis, training, and operational decision-making. Translate mission needs into executable scenarios, diagnose model behavior, manage configuration baselines, document assumptions and uncertainties, and work with stakeholders to report defects and recommend roadmap improvements while adhering to classification and data-handling rules.

Design, implement, debug, and optimize neuro-symbolic and deep learning AI systems; collaborate with engineers and subject-matter experts; lead R&D programs; write reports and papers; engage with customers and manage deployments.

Lead R&D in computer vision, machine learning, and image processing for robotics and sensing applications. Design novel methods, guide prototype development, mentor scientists/engineers, engage customers and partners, produce proposals/publications, and transition technologies to field deployment.