AI Engineer – Robotics Data Preprocessing

16 hours ago

Houston, TX, USASenior

Responsibilities

Architect scalable ingestion pipelines for egocentric video, teleoperation sessions, sensor streams, and third-party datasets.
Design cross-modal validation and hidden-state inference systems for video, proprioception, force, haptic, and language data.
Orchestrate hand tracking, segmentation, depth estimation, 3D reconstruction, pose tracking, and kinematic retargeting modules.
Implement spatial, temporal, viewpoint, and sensor-noise augmentation for robotics trajectories and multimodal data.
Synchronize state and action representations across robots, sensors, coordinate frames, rotation conventions, parameterizations, and sampling rates.
Build dataset query, visualization, auditing, annotation-review, and failure-analysis tooling.
Create temporal segmentation, metadata and scene-graph extraction, embedding-based retrieval, and language annotation workflows.
Validate synthesized data through kinematic feasibility checks, physics replay, and motion-consistency filtering.

M.S. or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field.
Deep expertise in Python and extensive experience with PyTorch custom dataloaders for multimodal datasets.
Experience processing force-torque sensor, load-cell, or tactile-array time-series data and aligning it with visual frames.
Mastery of video-processing pipelines using OpenCV, FFmpeg, or Decord, including terabyte-scale video I/O.
Working knowledge of 3D geometry, coordinate frames and transforms, rotation representations, camera intrinsics and extrinsics, forward and inverse kinematics, and URDF.
Proven ability to implement programmatic and generative augmentation for computer-vision and time-series data.
Experience with NVIDIA robotics software or datasets such as Open X-Embodiment, DROID, AgiBot World, or EgoDex is a bonus.
Familiarity with segmentation, monocular depth, hand and body pose estimation, 6-DoF object pose tracking, and point tracking is a bonus.
Familiarity with Ray or Apache Spark for distributed cluster computing is a bonus.
Background generating or using synthetic robotic data with Omniverse or MuJoCo is a bonus.
Experience integrating spatial-awareness or tactile-data representations into visual pipelines is a bonus.

Full-time role located in Houston, Texas or Pensacola, Florida.
99% employer-covered medical benefits.
Performance-based bonus and early-stage equity are offered.
Competitive PTO and a company-wide paid winter break from December 24 through January 2.
Access to advanced tools and opportunities to work on humanoid robotics technology.