Multimodal Robotics Data Pipeline Engineer

Persona AI; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Medical benefits

Paid time off

Winter break

Job summary

Persona AI is building humanoid robots for heavy industry, focusing on data pipelines that ingest multimodal recordings for foundation models.

The role involves extracting and aligning manipulation data from large datasets, with post-processing to infer hidden states and quantify grasp dynamics. You will advance cross‑modal checks and robust augmentation to support teleoperation workflows.

Qualifications

• MS/PhD in CS, ML, Robotics or related field.
• Strong Python and PyTorch experience with multimodal datasets.
• Experience processing time-series data from sensors and video.

Responsibilities

• Architect end-to-end data pipelines for raw recordings to training-ready datasets.
• Design cross-modal validation systems aligning video, proprioception and force signals.
• Coordinate hand-tracking, 3D reconstruction, and pose-tracking modules for robot trajectories.
• Implement data augmentation to boost model robustness.
• Develop tooling to query, visualize, and audit datasets for researchers.
• Collaborate with teleoperation team to adapt datasets to new robots/sensors.

Skills

Python

PyTorch

Multimodal data

OpenCV

3D geometry

Data pipelines

Education

MS/PhD in CS/ML/Robotics

Tools

FFmpeg

Decord

URDF

Job description

Persona AI is building humanoid robots for heavy industry, focusing on data pipelines that ingest multimodal recordings for foundation models.

The role involves extracting and aligning manipulation data from large datasets, with post-processing to infer hidden states and quantify grasp dynamics. You will advance cross‑modal checks and robust augmentation to support teleoperation workflows.