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Embedded Software Engineer Remote Jobs in Ontario

YO AI Labs

RL Environment Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

YO AI Labs

Backend Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

YO AI Labs

RL Environment Engineer - Remote

Ottawa, ON · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

YO AI Labs

Backend Engineer - Remote

Ottawa, ON · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Generac

Director Embedded Systems

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Lead and scale a high-performing team of software engineers across low-level embedded systems ...

TTEC Digital

Principal Software Engineer

Toronto, ON · Remote

This role is a full-time and fully remote opportunity! The work: We're an innovation group inside ... ve embedded AI inside products, not just used it as a tool. Change doesn't rattle you; new ...

Generac

Senior Engineer QA

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Collaborate closely with embedded software engineers to improve code testability and define ...

Fortive

Senior Software Engineer

Toronto, ON · Remote

This is a remote role for candidates in the US or Canada, focusing on cross-functional collaboration to build scalable, high-quality software. We embrace a "shift-left" approach, where developers ...

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Showing results 21-40

All JobsEmbedded Software Engineer JobsEmbedded Software Engineer Remote JobsEmbedded Software Engineer Remote Jobs in Ontario

Embedded Software Engineer Remote information

See Ontario salary details

$71K

$122.4K

$148K

How much do embedded software engineer remote jobs pay per year?

As of Sep 8, 2026, the average yearly pay for embedded software engineer remote in Ontario is $122,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an embedded software engineer remote?

An Embedded Software Engineer Remote job involves designing, developing, and testing software that runs on embedded systems, such as microcontrollers or IoT devices, while working remotely. These engineers write low-level code, optimize performance, and ensure seamless hardware-software integration. They use programming languages like C, C++, or Python and collaborate with teams through virtual communication tools. Remote roles require strong self-discipline, effective communication, and the ability to troubleshoot issues independently.

What are the key skills and qualifications needed to thrive as an embedded software engineer remote?

To thrive as an Embedded Software Engineer Remote, you need strong programming skills in C/C++, a solid understanding of embedded systems architecture, and often a degree in computer engineering, electrical engineering, or a related field. Familiarity with real-time operating systems (RTOS), version control tools like Git, and hardware debugging tools is commonly required, and certifications like Certified Embedded Systems Engineer (CESE) are a plus. Excellent problem-solving, self-motivation, and clear communication are important soft skills for effective remote collaboration. These capabilities enable you to deliver reliable, efficient solutions in a distributed work environment while supporting cross-functional teams and project objectives.

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote Embedded Software Engineers often encounter challenges such as limited direct access to physical hardware, coordinating across different time zones with team members, and maintaining effective communication for troubleshooting and integration tasks. These challenges can be mitigated by utilizing remote hardware labs, well-established code repositories, and clear documentation practices. Regular video meetings, collaborative development tools, and proactive status updates also help keep projects on track and align team efforts. By staying organized and responsive, remote engineers can overcome these obstacles and deliver high-quality embedded solutions.

What are the most commonly searched types of Embedded Software Engineer jobs in Ontario?

The most popular types of Embedded Software Engineer jobs in Ontario are:

What are popular job titles related to Embedded Software Engineer Remote jobs in Ontario?

For Embedded Software Engineer Remote jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Embedded Software Engineer Remote jobs in Ontario look for?

The top searched job categories for Embedded Software Engineer Remote jobs in Ontario are:

Embedded Software Engineer Remote jobs near you
Infographic showing various Embedded Software Engineer Remote job openings in Ontario as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,400 per year, or $58.8 per hour.

Machine Learning Engineer - Remote

YO AI Labs

Toronto, ON • Remote

$80 - $120/hr

Full-time

Posted 12 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.