Software Developer, Robotic Data & Deliveries

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.

The Role

We are hiring a Software Developer to build — end to end — the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier AI labs. This is a 0→1 role: you’ll take a rough delivery problem, design the interface and the system behind it, ship a first version fast, and iterate with the people using it.

You’ll own whole surfaces rather than a single layer — the review and QA UIs our labeling and delivery teams live in, the dashboards sales uses to track a delivery, the export and validation logic underneath, and the data plumbing that ties it together. Front-end one week, data pipeline the next, a scrappy internal tool the week after. You’ll work hand-in-hand with the Delivery Operations team — including our Robotic Data & Deliveries TPM — turning recurring delivery pain into products people actually want to use.

When a workflow is slow, manual, or fragile, you’re the one who builds the thing that fixes it. Ideal background: full-stack or product engineering with a track record of building tools and products 0→1. Comfort with data and large-dataset systems is a strong plus, but breadth, product sense, and speed matter more than depth in any one stack.

What you will be doing: Internal Products & Delivery Tooling • Design and build the internal products our teams use every day — dataset review and QA interfaces, delivery-tracking dashboards, data viewers, and the workflows that string them together — owning both the UI and the logic behind it. • Turn one-off scripts and manual steps into real tools with a usable interface, so delivery, sales, labeling, and QA move faster without engineering babysitting.

0→1 Product Building • Take fuzzy problems from a conversation to a shipped v1 quickly, then iterate with real users — internal teams today, and the experience AI-lab customers touch when they receive a delivery. • Make pragmatic build-vs-buy and scope calls; ship the 80% that unblocks people now and harden it as it proves out.

Data & Platform Plumbing • Build the pipelines and APIs that package, validate, index, and serve ego datasets — the systems that make petabyte-scale video and sensor data usable for delivery, labeling, QA, and model training. • Keep the tools you ship reliable and honest about data quality, so problems get caught before a dataset reaches a customer.

Who You Are

• • 3+ years building software as a full-stack or product engineer (or equivalent impact) — you’re comfortable owning a feature from UI to data.
• • Fluent in a modern front-end stack (e.g., TypeScript/React) and at least one backend language (e.g., Python, Node, Go).
• • A demonstrated 0→1 builder — you’ve taken tools or products from nothing to in-use, and you thrive in ambiguity without a detailed spec.
• • Strong product sense and a bias to ship: you scope ruthlessly, get a v1 in front of users, and iterate.
• • Comfortable working directly with data — querying databases (e.g., SQL, MongoDB) and reshaping or validating datasets.
• Even better if you have: • You’ve been an early or founding engineer, built internal tools teams loved, or shipped side projects end to end.
• • You have real UX/design instincts — your tools are fast, clear, and pleasant to use, not just functional.
• • You think in terms of the user, clean interfaces, and shipping — and you write maintainable code with strong ownership.
• • Exposure to video/media or large-dataset systems (ingestion, storage, metadata/search, ETL) is a plus, not a requirement.
• Why This Role • Own real surface area from day one — build the products that power petabyte-scale robotics datasets and the deliveries frontier AI labs depend on.
• • Maximum breadth: front-end, back-end, data, and product, on problems that are still greenfield.
• • High ownership and direct impact across delivery, operations, sales, and research — paired tightly with the TPM who owns the delivery programs you build for.
• 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.