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.
A Note on Applying
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. 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.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.