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Open nowPosted 17 days ago

Hardware, QC & Reliability Engineer

mecka.ai53 open roles

Pay
CA$155,000 – CA$175,000 a year
Where
Toronto GTA
Work mode
Hybrid
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Your applicationOpen nowHardware, QC & Reliability Engineermecka.ai · Toronto GTA
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. mecka.ai postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 17 days ago

mecka.ai median: 11 days open

The posting

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.

ABOUT THE ROLE

You will set the quality standard for hardware that captures the experience robots learn from. As Mecka scales production and deployment, your work will establish whether devices record accurate data and remain dependable through repeated use.

You will turn product requirements into production acceptance criteria, reliability tests, and automated checks. Bring strong experimental and debugging skills to expose subtle failures, establish their causes, and verify lasting fixes. Your evidence will guide decisions about which hardware and software are ready to ship.

WHAT YOU'LL DO

- Build automated hardware tests that verify recording quality, performance, and recovery against clear requirements.

- Test long recording sessions and fault conditions, including power loss, disconnects, full storage, and competing workloads.

- Check recorded data for missing frames, timestamp errors, incomplete sensor streams, and corruption.

- Reproduce failures, work with engineers to isolate the root cause, and turn each fix into a repeatable regression test.

- Define release checks and qualification tests across supported hardware and software configurations.

WHAT YOU BRING

MUST-HAVE:

- 3-4 years of strong Python or comparable scripting skills for test automation, data analysis, and reporting.

- Experience testing embedded Linux, cameras, robotics, or connected hardware.

- Ability to build and automate physical test fixtures, including device control and measurement.

- Practical knowledge of Linux diagnostics, networking, logs, and system performance tools.

- Skill in designing repeatable experiments and separating product failures from problems in the test setup.

- Ability to analyze timing and recorded data, reproduce intermittent faults, and verify fixes under stress.

NICE-TO-HAVE:

- Experience with camera pipelines, update fault testing, or continuous integration for hardware.

- Experience with electrical failure analysis, environmental testing, or repair qualification.

ABOUT YOU

- You are ambitious about what you build. You can point to results you personally delivered.

- You care deeply about your craft, pursue difficult questions, and learn quickly.

- You take initiative and own problems through to results. You work independently, make decisions, and bring others in when needed.

- You communicate honestly. You own mistakes, share credit, and help the people around you succeed.

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.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

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