R&D-021 Full stack Engineer

About AIRoA The AI Robot Association AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the worldʼs most powerful Vision-Language-Action VLA) models. What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform. For researchers, this means an opportunity to: Work on fundamental challenges in robotics and AI: multimodal learning, tactile-rich manipulation, sim-to-real transfer, and large-scale benchmarking. Access state-of-the-art infrastructure: hundreds of humanoid robots, GPU clusters, high-fidelity simulators, and a global-scale evaluation pipeline. Collaborate with leading experts across academia and industry, and publish results that will shape the next decade of robotics. Contribute to an initiative that will redefine the future of embodied AI—with all results made open to the world. Key Responsibilities Design, develop and implement teleoperation systems, including real‑time control, low‑latency audio/video streaming and operator-facing interfaces. Work closely with robot operators to gather feedback from real‑world use and continuously improve the user experience. Provide data‑quality feedback through the teleoperation UI to encourage higher‑quality data collection. Develop and maintain applications that support data collection, such as internal tools and dashboards. Build intuitive web‑based interfaces for managing and monitoring data pipelines. Collaborate with VLA teams and Data/ML platform teams to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Develop configuration‑management systems to store and update metadata, including robot configurations and task descriptions. Ensure secure communication through robust authentication and access‑control mechanisms. Requirements Required Qualifications Bachelor's degree in Computer Science or a related field (or equivalent practical experience). 4+ years of professional experience as a full‑stack engineer, with proficiency in both backend and frontend development. Backend: Proficiency in implementing solutions using technologies such as Go and Python FastAPI. Frontend: Proficiency in modern frameworks such as Next.js, React. Cloud: Familiarity with cloud platforms such as AWS or GCP. Leadership: Experience leading and driving technical decisions with initiative as a Tech Lead, Team Lead, or equivalent. Demonstrated experience in at least one of the following areas: A strong…