Software Engineer, Human-Robot Interaction

Overview

Field

AI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment.

Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

Software Engineer, Human-Robot Interaction — In this role, you will shape how humans and robots communicate, collaborate, and build trust in real-world environments. From natural language dialogue systems to intuitive interaction paradigms, you will design the interfaces that make our robots approachable, understandable, and effective partners for operators across diverse industries.

This position sits at the intersection of robotics, AI, and human factors. You will work closely with both research and product teams, translating cutting-edge HRI insights into field-ready interaction systems that ship to customers. You will leverage foundation models to push beyond conventional command-and-control interfaces, enabling rich, context-aware dialogue and adaptive robot behaviors. If you are energized by bridging research and deployment to solve ambitious problems in embodied intelligence, we want to hear from you.

• Design & Build Human-Robot Interaction Systems
• 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.
• Leverage Foundation Models for Intelligent Interaction
• 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.
• Bridge Research & Deployment
• 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
• Collaborate Across Disciplines
• 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.

• 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

Field

AI is tackling one of robotics’ hardest problems: deploying…