The business problem is to engineer solutions that make decision-making, information flows, and human–AI interactions more efficient, safe, and intuitive, specifically in the context of multimodal human–AI systems at the company.
Requirements
- Formal training or certification in software engineering concepts
- 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)
- Ability to analyze how humans think and decide across voice, text, and visual modalities
- Skill in translating cognitive principles into engineering requirements for multimodal AI systems
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
Other
- Advanced degree in Cognitive Engineering, Human Factors, Applied Cognitive Psychology, Systems Engineering, or related field
- At least 5 years of applied experience
- Proven experience in complex, high-stakes domains
- Ability to collaborate with product, design, and engineering teams
- Ability to work in a team environment
