Video Platform Engineer - E3
Core
Build and operate the end-to-end video pipeline that ingests, transcodes, synchronizes, and delivers raw multi-camera field capture data to robotics labs for AI training.
Role type
Senior IC video platform engineer (distributed systems & media processing)
Builds
Production-grade video ingestion, transcoding, synchronization, and delivery pipelines for petabyte-scale robotics training datasets
Domain
Robotics AI infrastructure, media engineering, distributed systems
Deliverable
production ML models
Required skills
FFmpeg, GStreamer, codec/container expertise (H.264/HEVC/AV1), distributed systems, cloud infrastructure, object storage, workflow orchestration (Temporal/Airflow), Infrastructure as Code, cost-efficient architecture design, observability
Preferred skills
Multi-camera/time-synchronized capture systems, robotics sensor formats (MCAP/rosbag), machine learning on video, perceptual quality measurement (VMAF), streaming formats (HLS/DASH/CMAF), end-to-end pipeline tooling
Responsibilities
Design resilient ingest paths for field capture rigs, build transcoding/normalization pipelines, time-synchronize multi-camera video with telemetry, implement automated quality checks, design dataset versioning and lineage, build delivery paths with integrity verification, optimize storage/egress/GPU costs, improve pipeline observability, troubleshoot complex media/storage/networking issues, own on-call rotation, drive complex initiatives from design to operation
Seniority
Senior, hands-on IC
