Mission Build the infrastructure that processes large volumes of video reliably and automatically flags bad data.
Responsibilities Build ingest and processing jobs for multi-camera video and sensor data stored in the cloud. Run GPU batch inference for perception and annotation models. Implement automated quality checks: blur, occlusion, dropped frames, sync drift. Package outputs into versioned, documented datasets.
Must have Strong Python; comfortable with Linux, Docker and Git. Experience processing video or large datasets (FFmpeg, PyAV or similar). Some experience with a workflow or distributed tool (Ray, Airflow, Spark or similar).
Nice to have Object storage (S3-compatible) and data formats (Parquet, HDF5, MCAP). Experience running models on GPUs in production
