- Robot type
- Robot AI and Software
- Location
- BostonMassachusettsUSA
- Job type
- Artificial Intelligence
- Posted
- Aug 27, 2026
Software Engineer, Human-Robot Interaction (Dialogue Systems)
Job description
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
Job responsibilities
- Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots.
- Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements.
- Create intuitive mechanisms for operators to understand robot intent, state, and decision-making.
- Integrate foundation models into HRI pipelines.
- Design systems to improve the efficiency and performance of foundation models on edge.
- Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses.
- Translate HRI research insights into practical, field-deployable systems
- Conduct user studies and field experiments to validate interaction designs
- Build robust systems that perform reliably in unstructured, real-world environments
- Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences.
- Work with product and UX teams to align interaction designs with user needs.
- Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.
Job requirements
- Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience
- Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction
- Proficiency with foundation models and their integration into production software systems
- Strong programming skills in Python and C++
- Solid understanding of HRI principles, including user modeling, explainability, and trust calibration
- Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams
- Ability to translate research ideas into practical, field-deployable systems
- Excellent communication skills and a highly collaborative mindset
- Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field
- Experience with robotics middleware for real-time systems
- Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP
- Experience with speech recognition, natural language understanding, or dialogue management frameworks
- Familiarity with user study design and evaluation methodologies
- Contributions to open-source robotics or NLP projects
- Personal or academic projects demonstrating creativity in human-robot or human-AI interaction
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