Jersey City, NJ30+ days ago
Job Responsibilities: • Conduct cognitive task analyses for multimodal workflows (voice, chat, visual dashboards, ambient signals) • Translate insights into system-level requirements for AI agents, decision support tools, and automation pipelines • Model human workload, attention, and modality-switching costs (e.g., moving between text, charts, and speech) • Collaborate with product, design, and engineering teams to ensure multimodal systems reflect cognitive principles • Design and evaluate cross-modal decision support (e.g., when should an AI "speak," "show," or "stay silent") • Develop frameworks for trust calibration and cognitive fit in multimodal human-AI teaming • Run simulations and user-in-the-loop experiments to test system performance across modalities. Required Qualifications, Capabilities, and Skills: • Formal training or certification in software engineering concepts and at least 5 years of applied experience • Advanced degree in Cognitive Engineering, Human Factors, Applied Cognitive Psychology, Systems Engineering, or related field • Proven experience in complex, high-stakes domains • Deep expertise in cognitive load and modality management, human error analysis and mitigation, decision-making under uncertainty, human-automation interaction, and voice/visual trust calibration • Experience evaluating multimodal AI/ML systems (voice, NLP, data visualization, multimodal agents).