Fullstack Engineer (Embodied AI)

Location: San Mateo, hybrid

Company

hirify.global builds data collection systems, operational infrastructure, large-scale data warehouses, and software tools for robotics and foundation model development.

What you will do

• Maintain and improve embodied AI data collection systems, including multimodal sensor synchronization, data pipelines, storage, and annotation toolchains.
• Integrate, calibrate, and maintain camera systems, robotic arms, and related equipment.
• Deploy imitation learning, DAgger, and teleoperation algorithms end to end, from data collection and model training through inference deployment and on-site tuning.
• Build data quality mechanisms for timestamp synchronization, coordinate frame alignment, anomaly detection, and collection failure diagnosis.
• Define robot-side software interfaces and communication protocols using ROS2, DDS, and related technologies.
• Support on-site data collection and algorithm deployment, document technical solutions, and improve collection efficiency and model performance.

Requirements

• Bachelor’s degree or higher in Robotics, Automation, Computer Science, or a related field, plus 3+ years of relevant experience.
• Strong Python and C++ skills, with experience in system-level development and debugging in Linux.
• Expertise in ROS/ROS2, including Topics, Services, Actions, parameter management, and Launch.
• Experience integrating and calibrating RGB-D or stereo camera systems, including ZED, RealSense, or similar cameras, with knowledge of intrinsic and extrinsic calibration and multi-camera synchronization.
• Experience with robotic arm control interfaces, driver layers, kinematics, high-level APIs, and hardware interfaces such as CAN, EtherCAT, RS485, and USB.
• Experience training and deploying deep learning models with PyTorch, including data preparation, training, inference, and deployment; daily use of AI coding tools such as Claude Code or Cursor.

Nice to have

• Project experience in embodied AI or imitation learning data collection and algorithm deployment.
• Knowledge of Diffusion Policy, ACT, VLA, SVO2, ROS bag, HDF5, or LeRobot datasets.
• Experience with camera hardware triggering, PTP synchronization, motion capture devices, video codecs, or Jetson hardware codecs.
• Fluent written English for reading research papers and open-source documentation.

Culture & Benefits

• End-to-end ownership from data collection and algorithms through engineering deployment.
• Autonomy and involvement in technical decisions within a flat, open engineering culture.
• Access to a well-equipped hardware lab for rapid prototyping and iteration.
• Flexible work arrangements, ongoing learning, and internal technical knowledge-sharing programs.
• Competitive compensation package.