Mecka AI is a New York City–based startup that collects human motion data from body sensors and iPhones to train embodied AI models for robotics.
ABOUT MECKA 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 and robotics teams. Our operations span multiple countries, with contributors, partners, and customers across North America and Asia. OUR MISSION Robotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data. Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time. OUR CULTURE - Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us. - Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure. - Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast. - Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate. - Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission. - Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives. 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. RESPONSIBILITIES - 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. MINIMUM QUALIFICATIONS - 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.