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
You'll make Mecka's capture hardware practical for the people recording the real world. You'll build the Android applications that connect our devices, guide recording, and show users their progress and how to recover when something goes wrong. The work sits where physical hardware, mobile software and everyday use meet. Getting it right across many phones and operating conditions helps more people contribute high-quality data for robot learning.
What You'll Do
Build clear app workflows for connecting hardware and capturing data.
Integrate device interfaces and media capabilities into native Android software.
Design status displays and recovery flows so users stay on track through disconnections, permission changes and interrupted transfers.
Improve responsiveness, video performance, memory use and battery consumption across supported phones.
Add diagnostics, and work with firmware engineers to reproduce issues and test complete user workflows.
What You Bring
Must-have:
3–4 years of experience building and debugging native Android applications with connected hardware or media features on real devices, with strong Kotlin or Java skills.
A solid understanding of Android lifecycle, concurrency, permissions, background execution and networking.
The ability to design reliable app state that preserves user progress when connections or processes are interrupted.
Hands-on experience profiling and debugging performance, memory and connectivity on real Android devices.
The ability to build clear user interfaces and automated tests for important app workflows.
Nice-to-have:
Experience with USB host APIs, UVC cameras, MediaCodec, Camera2 or native C++ integration.
Experience with device provisioning, recording apps or large file transfers.
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.
Skills Required
- 3-4 years of experience building and debugging native Android applications with connected hardware or media features on real devices
- Strong Kotlin or Java skills
- Understanding of Android lifecycle, concurrency, permissions, background execution, and networking
- Ability to design reliable application state that preserves user progress during interruptions
- Hands-on experience profiling and debugging performance, memory, and connectivity on real Android devices
- Ability to build clear user interfaces and automated tests for important application workflows
- Experience with USB host APIs, UVC cameras, MediaCodec, Camera2, or native C++ integration
- Experience with device provisioning, recording applications, or large file transfers
What We Do
Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.
