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

The data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data usable, and the SDKs that let our teams — and, as we open the platform, external developers — build against our hardware and data.

Our data team owns ingest, storage, and processing; you own the developer- and viewer-facing layer on top — clean APIs, documentation, and rich, performant frontends. You sit at the seam between hardware, the data team, and the people who consume the data, and you own the interfaces that connect them.

What You'll Do

• Design and ship web viewers and players for egocentric capture data: multi-stream playback, timeline scrubbing, sync, and performance with large media.

• Design and build SDKs for our hardware and data — clean APIs, documentation, versioning, and developer ergonomics.

• Own the interface contracts at the hardware/data/consumer seam, coordinating with embedded and the data team.

• Define and ship the tooling and reference implementations that make our data usable to internal teams today and external developers as the platform opens up.

What You Bring

• Track record of shipping production web apps to real users (typically 4+ years for mid, 7+ for senior), including at least one media- or data-heavy product you owned end to end.

• Strong frontend engineering for media-heavy web apps (video/sensor playback, large-data performance) — modern JS/TS and a major framework.

• Demonstrated API/SDK design sense — you've built interfaces other engineers depended on and treated their ergonomics as a feature.

• Comfortable working across teams and holding multiple interfaces in your head, rather than implementing a handed-down spec.

Preferred qualifications

• Experience with video/media tooling, WebGL/WebCodecs, or large time-series/sensor visualization.

• Prior SDK or developer-platform work with external consumers.

• Familiarity with hardware/data-adjacent products.

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.