1.10 Software Engineer, Human-Robot Interaction

Overview FieldAI 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. What You Will Do 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. What You Bring 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 What Will Set You Apart 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 Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. #J-18808-Ljbffr