Hardware, Device Operations Engineer

The role

You will build the operating capability for Mecka's capture fleet to collect data. You will own device readiness and recovery, creating diagnostics, automation, and procedures to scale.

What you will do

• Own device issues from report through diagnosis, repair or recovery, and verification.
• Troubleshoot cameras, connected peripherals, Linux software, storage, networking, and data transfers.
• Prepare and validate devices for deployment including configuration, software updates, and recording checks.
• Support operators and partners with technical guidance.
• Reproduce product defects and work with engineering teams to resolve them.
• Write scripts and troubleshooting procedures.
• Track recurring failures and improve readiness checks.

Required qualifications

• 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.
• Ability to prioritize issues by operational impact.

Nice to have

• 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.

Before you apply

• We may use AI-assisted tools to help evaluate applications against the requirements of this role.

About the company

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows.