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

Build the embedded Linux software that turns cameras and sensors into recording systems people can use every day. Your work will preserve the timing and integrity of the data that Mecka collects for robot learning, from the first board bring-up through years of operation.

Bring depth in camera systems or device platforms. You will solve problems close to the hardware, where throughput, power, storage, and recovery must work together through long recording sessions and interruptions.

Relevant Specializations

Bring depth in at least one of these areas:

• Camera systems: Linux drivers, capture and encoding, sensor synchronization, buffering, storage throughput, and sustained recording performance.

• Device platforms: boot and system images, provisioning, device identity, remote updates, rollback, and recovery after interrupted installations.

What You Will Do

• Develop and debug embedded Linux software on real capture hardware, from board bring-up through deployment.

• Build reliable services and data paths that preserve recordings through long sessions and interrupted operations.

• Measure and improve system performance, power consumption, resource use, and recovery behavior.

• Reproduce field failures with hardware and test engineers, and validate fixes across supported device configurations.

What You Bring

• Strong C or C++ skills and proficiency in Python or shell scripting for embedded development.

• Understanding of Linux processes, threads, memory management, I/O, filesystems, and system-level debugging.

• Hands-on experience developing and troubleshooting software on ARM or comparable embedded hardware.

• Ability to profile resource use and reason about concurrency, timing, data integrity, and failure recovery.

• Experience building reproducible software releases and testing behavior under realistic hardware and operating conditions.