Hardware – Device Operations Engineer
Mecka AI
Hardware – Device Operations Engineer
Mecka AI
Labeled human movement data for 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.
You will build the operating capability that lets Mecka's capture fleet collect useful data day after day. As devices reach more people and locations, your work will turn individual deployments into a reliable network for gathering the experience robots need to learn.
You will own device readiness and recovery, then turn what you learn into diagnostics, automation, and procedures that scale. Bring practical Linux, scripting, and hardware troubleshooting skills, and the judgment to follow a problem from an operator's report to a verified fix across the fleet.
Own device issues from the first report through diagnosis, repair or recovery, and verification that the device is ready for use.
Troubleshoot cameras, connected peripherals, Linux software, storage, networking, and data transfers using logs, measurements, and physical testing.
Prepare and validate devices for deployment, including configuration, software updates, recording checks, and inspection after return.
Support operators and partners with clear technical guidance. Reproduce product defects and work with engineering teams to resolve them.
Write scripts and troubleshooting procedures that make common problems faster to diagnose and resolve.
Track recurring failures, verify corrective actions, and improve readiness checks using evidence from the fleet.
3-4 years of hands-on experience troubleshooting physical devices that combine hardware and software, such as embedded systems, cameras, robotics, or connected equipment.
Practical Linux skills, including command-line tools, logs, processes, services, filesystems, and network diagnostics.
Python or shell scripting skills for diagnostics, device checks, and operational automation.
Ability to isolate faults through repeatable tests and distinguish hardware, software, configuration, and operator issues.
Experience validating device behavior after a repair, configuration change, or software update.
Clear communication with technical and nontechnical users, including useful reproduction steps, diagnostic evidence, and instructions.
Ability to prioritize issues by operational impact.
Experience supporting distributed device fleets, remote diagnostics, provisioning, or software updates.
Experience diagnosing recording problems such as dropped frames, corrupted files, synchronization errors, or incomplete transfers.
Experience with electronics troubleshooting, component replacement, or repair qualification.
You are ambitious about what you build. You can point to results you personally delivered.
You care deeply about your craft, pursue difficult questions, and learn quickly.
You take initiative and own problems through to results. You work independently, make decisions, and bring others in when needed.
You communicate honestly. You own mistakes, share credit, and help the people around you succeed.
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.
Mecka AI builds custom, labeled datasets of human movement by recording people performing specific tasks and analyzing the video to create multimodal data for AI and robotics training. Its offerings are data-as-a-service: bespoke, high-quality video data that is anonymized, meticulously annotated, and ready for direct ingestion into machine learning models. The company differentiates itself with a global, on-demand data-collection network and task-focused labeling to supply precise, task-specific datasets for autonomous systems, including humanoid robotics partners. Its goal is to accelerate the development and deployment of embodied AI and autonomous technologies by providing scalable, ready-to-use movement data.
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