Jobs at AIRoA (AI Robot Association)

Develop and improve Vision-Language models for robotics, build training pipelines, conduct error analyses, and establish infrastructure for model deployment.

Design and develop semi/full humanoid robots, teleoperation systems, robotic hands, and verification/validation environments. Create mechanical assemblies, tooling, jigs/fixtures, perform tolerance and material selection, integrate sensors/actuators with electrical/software teams, and lead prototyping through validation.

Lead PR strategy to raise global recognition of the foundation model. Plan and execute domestic and international communications, support English-language business development, coordinate overseas talent-dispatch events, manage the PR team, and report to the board.

Lead AIRoA's corporate communications: draft and distribute press releases, manage media and social channels, handle inquiries, support event PR, and prepare English materials to translate complex AI/robotics topics for diverse domestic and global audiences.

Develop and maintain high-fidelity simulation infrastructure and evaluation tooling for humanoid, mobile, and service robots; build scenario libraries, automated CI/testing, synthetic sensor data, and sim-to-real analysis to support VLA, perception, navigation, and manipulation research.

Design, build, and operate petabyte-scale, distributed data pipelines for multimodal robotics datasets. Create storage schemas, query interfaces, data-quality metrics, and tooling to enable researchers to discover, consume, and reproduce VLA training datasets. Collaborate with research teams to iterate on pipelines and monitoring.

Design, implement, and verify firmware and embedded software for humanoids, dual-arm robots, robotic hands, and teleoperation systems. Develop low-level control platforms, device drivers, communications (CAN/UART/SPI/I2C/Ethernet), logging/diagnostics, and interfaces to ROS/ROS2. Conduct real-robot testing, failure analysis, and system integration with mechanical, electrical, AI, and cloud teams to improve reliability and reproducibility for research data collection.

Responsible for designing data collection systems, developing teleoperation systems, creating automated model pipelines, and integrating VLA models onto robots.

Design and build robotic data collection systems, develop teleoperation systems, and integrate models onto humanoid robots while collaborating with multidisciplinary teams.

Interns will design data preprocessing pipelines, train VLA models using various learning techniques, improve model performance, and publish research results.

Design and maintain ML pipelines and distributed training clusters, optimize model performance, collaborate with researchers, and improve ML infrastructure.

This role involves designing scalable data collection systems for humanoid robots, developing teleoperation systems, and creating automated pipelines for model deployment.

Design and implement data pipelines, train VLA models, improve robustness through innovations, deploy models on robots, and publish research findings.

The Junior Research Scientist will design and implement data processing pipelines, train VLA models, and improve model efficiency, along with publishing research in top-tier conferences.

The Senior Research Scientist will design data pipelines, train VLA models, implement algorithms, evaluate performance, and publish research.

The role involves designing data collection systems, developing semi-autonomous teleoperation systems, and integrating VLA models onto physical robots.

Integrate, validate, and deploy ROS/ROS2-based robot software and data interfaces on humanoid and mobile robots. Design state management, mode switching, and system interfaces for safe real-robot operation; run integration tests in simulation and on hardware; debug perception, control, and system layers; and collaborate to transition research prototypes to reproducible platforms.

Lead launch and operation of a membership community for large corporations: design membership structure, recruit and onboard enterprise members, run engagement initiatives and events, manage community tools, and track KPIs to drive growth and retention.

Design, implement, and improve teleoperation systems for humanoid and mobile robots; establish high-quality demonstration and logging workflows for imitation learning; collaborate across Autonomy, VLA, Simulation, Integration, and Hardware teams; analyze and reproduce real-robot issues related to low-latency communication, control cycles, sensor sync, failures, and recovery, then implement fixes and verification.

Design, implement, and tune low-level actuator firmware (FOC, dq-based current/torque loops, velocity/position control), bring up motor-control boards and sensors, implement safety mechanisms, build calibration/logging pipelines, integrate CAN FD/EtherCAT, and validate/tune control performance on humanoid and dual-arm robots.