Job SummaryWe're hiring a lead for the data platform: camera on a worker to training-ready datasets, and out to research customers. Collection is monocular 1920x1080p 30fps in the wild, targeting 100M hours. The roles we mean: Tesla Autopilot, Waymo, Cruise, Zoox, Nuro, Samsara, Verkada, Netflix encoding, YouTube ingest, Scale, Eventual/Daft. This is not a warehouse, analytics, or generic backend seat.
Key Responsibilities- Own the data platform end-to-end: on-device capture, upload under flaky bandwidth, object storage, training-ready shards
- Compression, codecs, and storage-tier trade-offs so 1080p30 hours stay cheap enough to keep collecting
- Upload that survives bad networks: on-device buffering, batching, retries, a drop rate you can actually see
- Object storage and training-shard formats. The hard problem is petabyte-scale media, not a warehouse
- Own dataset packaging, versioning, and delivery to external research customers
- Work with Shenzhen firmware so new devices speak one ingest contract, not a custom path per SKU
- Make health, cost, and drop rate obvious as we add sites and countries
You may be a good fit if you have (Must-have qualifications)- You have owned a production media or sensor data path at real scale: object storage at petabyte scale, video codecs and compression, upload under flaky bandwidth, or training-shard / dataset formats
- That kind of data path: Tesla Autopilot, Waymo, Cruise, Zoox, Nuro, Samsara, Verkada, Netflix encoding, YouTube ingest, Scale, or Eventual/Daft. Demo-scale ETL is not this job
- Strong software engineering. Python and at least one systems language. Linux
- You measure cost and throughput, not whether the demo uploaded
- You want to scale in-the-wild physical-labor video, not run a generic data org
Strong candidates may also have experience with (Nice-to-have qualifications)- Pose, multi-camera, or other large media besides video
- Cloud (AWS or GCP), orchestration (Kubernetes, Airflow, Temporal), or IaC
- Dataset management or annotation tooling
- You have shipped dataset delivery to external research or training customers
Benefits- Competitive pay
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2k per month for those living within walking distance of the office
- Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
- Unlimited Codex and Claude credits
- Travel
