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Salary
$96k – $110k per year
Location
In office (Toronto, New York)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 15, 2026. Mecka scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mecka is a data infrastructure company that captures, structures and evaluates real-world activity into datasets for robotics and embodied AI teams. It designs and operates data capture, labeling and hardware-enabled systems used by AI labs, and hires software, firmware, computer vision and manufacturing engineers. The company is based in the United States.

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

You will make sure Mecka’s capture devices are ready to collect high-quality data wherever they’re deployed. You’ll own the technical readiness of deployed devices, diagnose problems across hardware and software, and carry issues through to verified resolution.

Scaling robot-learning data requires more than building great devices. It requires making them work reliably across operators, locations, and demanding real-world conditions. You’ll turn hands-on troubleshooting into tools and procedures that let a growing fleet collect more useful data with less downtime.

What You’ll Do

  • 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.

What You Bring

Must-have:

  • 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 and follow them through to a verified outcome.

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.

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.

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