Build end-to-end sensor data pipeline from capture to packaged delivery
Design automated QC for recordings at scale
Establish dataset schemas, versioning, provenance and traceability
Build shared processing components such as privacy redaction, transcription, encoding
Integrate VLM-assisted pre-labeling and quality scoring into workflows

🎯 Requirements

Strong production backend/data engineering experience with high-volume pipelines
Experience processing video or sensor data at scale
Fluency in Python and comfortable with AWS
Genuine data taste: read sensor traces or timing histograms
Comfort in ambiguous, fast-moving problem spaces where requirements evolve
Nice to have robotics data formats/tools (MCAP, ROS bags, protobuf)

🎁 Benefits

Bi-annual performance bonus
Generous equity grant vested over 4 years
Relocation bonus up to $15k
Housing bonus up to $10k
$1.5K monthly meals stipend
Free Equinox membership

🚚 Relocation support

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