Posted 2 hours ago
Software Engineer (SWE), Delivery Ops
@ Mecka
Richmond Hill, Ontario
Overview
Mecka is hiring a full-time software engineer for its Delivery Ops team, which turns robotics training data captures into customer datasets. The role builds pipelines, automated ship gates, packaging, delivery ledgers and internal tools for a large-scale data delivery process.
Responsibilities:
- Build pipelines that filter episodes against customer specs
- Automate ship gates for quality, privacy and label integrity
- Own export to customer formats, manifests and checksums
- Maintain the delivery ledger and reporting dashboards
- Ship lightweight internal web tools for the delivery team
Requirements summary:
- 3 to 6+ years building production data pipelines or backend systems
- Strong Python and SQL skills
- Experience with cloud object storage for large media files
- Frontend skill to ship a usable internal tool
- Video processing experience (FFmpeg) is a plus
- Robotics, computer vision or ML dataset experience is a plus
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-11-12
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-11-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mecka
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Data Layer for AI Robotics
Full company description
Mecka create large scale human data for AI and robotics training
- LinkedIn followers
- 980
- People associated on LinkedIn
- 38
- Business categories
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Other recorded names
- Mecka
- Mecka AI
- Specialties
- Robotics
- Artificial Intelligence
- and Data
- Profile identifies a recruitment agency
- No
- Reported total investment
- 68,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mecka create large scale human data for AI and robotics training
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 2-10 employees |
| Organization type | Privately Held |
| Specialties | RoboticsArtificial Intelligenceand Data |
| Open jobs on Jobsy | 40 |
| View page |
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.
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