Firmware Engineer, Embedded Linux

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
150K-170K Annually
Entry level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Develop and debug embedded Linux firmware for camera and sensor recording systems. Responsibilities include board bring-up, reliable data paths, performance and power optimization, recovery from interruptions, field-failure reproduction, and validation across hardware configurations. The role requires strong C or C++ skills, Python or shell scripting, Linux systems knowledge, embedded ARM experience, concurrency and resource profiling expertise, and experience creating reproducible releases and realistic hardware tests.
Summary Generated by Built In
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.

Nice to Have
  • Experience with V4L2, GStreamer, camera ISPs, Yocto, Buildroot, signed updates, or hardware-in-the-loop testing.

A Note on Applying

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

  • Strong C or C++ programming skills
  • 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
  • Experience with V4L2, GStreamer, camera ISPs, Yocto, Buildroot, signed updates, or hardware-in-the-loop testing
Am I A Good Fit?
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The Company
58 Employees
Year Founded: 2024

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.

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