Software Engineer (SWE), Delivery Ops

ABOUT MECKA AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware. About Delivery Ops Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters. About the role Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program. You will build the systems that let a small team ship at that scale, so a delivery that takes a week today takes an afternoon. What you'll do Pool pulls Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list. Ship gates Automate the checks every episode must pass before shipping (quality, privacy blur, bans, exclusivity, label integrity) and make failures easy to trace. Packaging and transfer Own export to customer formats and storage, with manifests, checksums, and re-delivery support. Delivery ledger Maintain the source of truth for what shipped to whom, and the dashboards and reports built on it. Internal tools Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily. What you bring • 3 to 6+ years building production data pipelines or backend systems. • Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows. • Experience moving large media files through cloud object storage reliably. • Enough frontend skill to ship a usable internal tool without a designer. Even better if you have • Video processing experience (FFmpeg, frame extraction, codecs). • Experience with robotics, computer vision, or ML training datasets. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs. We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.