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Mecka AI is building the data infrastructure layer for robotics and embodied AI. The company designs and operates 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.
In this role, you will own the technical readiness of Mecka's deployed capture devices, ensuring they collect high-quality data reliably across operators, locations, and demanding real-world conditions. You will be responsible for the full lifecycle of device issues: from initial report through diagnosis, repair or recovery, and verification that the device is ready for use.
Key responsibilities include:
- Troubleshooting cameras, connected peripherals, Linux software, storage, networking, and data transfers using logs, measurements, and physical testing
- Preparing and validating devices for deployment, including configuration, software updates, recording checks, and post-return inspection
- Supporting operators and partners with clear technical guidance
- Reproducing product defects and collaborating with engineering teams to resolve them
- Writing scripts and troubleshooting procedures to accelerate diagnosis and resolution of common problems
- Tracking recurring failures, verifying corrective actions, and improving readiness checks based on fleet data
- Prioritizing issues by operational impact and following them through to verified outcomes
This role bridges hands-on troubleshooting with systematic process improvement, turning operational insights into tools and procedures that enable a growing fleet to operate with minimal downtime.
REQUIREMENTS:
Must-have:
- 3–4 years of hands-on experience troubleshooting physical devices combining hardware and software (embedded systems, cameras, robotics, or connected equipment)
- Practical Linux skills: 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 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 and follow them through to verified outcome
Nice-to-have:
- Experience supporting distributed device fleets, remote diagnostics, provisioning, or software updates
- Experience diagnosing recording problems (dropped frames, corrupted files, synchronization errors, incomplete transfers)
- Experience with electronics troubleshooting, component replacement, or repair qualification
