← All jobs
Mecka

Hardware, Edge ML Engineer

Toronto GTA (Canada)
Salary
CA$170K - CA$190K
Level
Senior
Work type
On-site · Toronto GTA

Not stated in the posting: visa.

Open. First seen 7 October 2026.

Apply on the company's site →

About the role

Mecka's standard text

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 bring intelligence to the devices that capture the world for robot learning. As Mecka's capture network grows, your models will turn advanced computer vision into capabilities that work wherever people collect data, within the limits of real hardware.

You will own the work from model training and evaluation to efficient deployment on embedded devices. Bring strong computer vision, C++, and performance engineering skills to the challenge of delivering accurate results under tight latency, memory, and power constraints.

What You'll Do

  • Train and evaluate computer-vision models for deployment on embedded devices.
  • Build efficient C++ inference pipelines and integrate them with embedded Linux software.
  • Optimize models and runtime performance for latency, memory, power consumption, and sustained operation.
  • Test performance on representative data and hardware, and investigate errors across preprocessing, inference, and integration.

What You Bring

Must-have:

  • 5+ years of experience in machine learning or computer vision, including deploying models on embedded or resource-constrained hardware.
  • Strong Python and C++ programming skills, including debugging and performance profiling.
  • Experience training and evaluating computer-vision models with a framework such as PyTorch.
  • Experience developing on embedded Linux.
  • Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.
  • Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.

Nice-to-have:

  • Experience with accelerator runtimes, custom operators, or camera and video pipelines.
  • Experience with dataset curation.

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.
Mecka's standard text

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.

What this role asks for

Standard for data science / ML roles

Machine Learning · PyTorch · Python

Common in data science / ML postings at any company.

45% of this description is written for the role. The rest is Mecka's standard text, folded away below.

Read against Mecka's other open postings on this site.

The team: Hardware Engineering GROWING FAST

This role is one of 13 open in Hardware Engineering. 13 were posted in the last 30 days.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Embedded Systems (8 of 13), Python (8 of 13), C++ (6 of 13), Linux (5 of 13), Android (2 of 13), Bash (2 of 13), C (2 of 13)

OTHER ROLES ON THIS TEAM

From the team and dates on Mecka's own job board.

Similar jobs

Is this your posting and you want it taken down? Email info@careerholo.com.