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Remote Embedded Engineer Jobs in Ontario (NOW HIRING)

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 ...

AI Software Engineer - Remote

Ottawa, ON ยท 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 ...

AI Software Engineer - Remote

Toronto, ON ยท 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 ...

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 ...

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 ...

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 ...

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 ...

Software Engineer

Toronto, ON ยท Remote

CA$8/hr

As a remote-first organization, we are building a modern, high-performing team focused on ... This is a hands-on engineering role where you'll contribute across the full software development ...

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... scalable engineering controls and ensure data security requirements are embedded across the ...

Define firmware architecture including secure boot, remote firmware updates / OTA updates, device ... Deep expertise in embedded firmware architecture (ARM-based MCUs, RTOS, secure boot, OTA). * Strong ...

Showing results 21-40

Remote Embedded Engineer information

What is a remote embedded engineer?

A Remote Embedded Engineer is a professional who designs, develops, and maintains embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. They use programming languages like C or C++ to create software that interacts directly with hardware components. Remote Embedded Engineers often collaborate with teams using online tools, manage tasks independently, and ensure the reliability and efficiency of embedded systems across industries such as automotive, medical devices, or IoT. Their work enables connectivity and functionality in a wide range of smart devices.

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

To thrive as a Remote Embedded Engineer, you need expertise in embedded systems design, proficiency in programming languages like C/C++, and a background in electrical or computer engineering. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware debugging tools, and version control systems such as Git is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills make candidates stand out in this role. These competencies are vital to ensure reliable embedded solutions, efficient project collaboration, and independent productivity in a remote environment.

How do remote embedded engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Engineers often use a combination of version control systems, video conferencing, and remote desktop tools to stay in sync with hardware teams. They may participate in daily standups, share code and test results through collaborative platforms, and sometimes use hardware simulators or remote lab access for testing. Regular documentation and clear communication are key, as are scheduled sync meetings to address integration issues and align project milestones. This structure helps ensure smooth coordination despite physical distance.

What is the difference between Remote Embedded Engineer vs Remote Firmware Engineer?

AspectRemote Embedded EngineerRemote Firmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDesigning and developing embedded hardware/software, often in R&D or product development teamsWriting low-level code for hardware devices, often in manufacturing or product support
Industry UsageElectronics, IoT, automotive, consumer devicesConsumer electronics, IoT, industrial equipment
Common Search/ComparisonRemote Embedded EngineerRemote Firmware Engineer

Both roles focus on embedded systems but differ mainly in scope. Remote Embedded Engineers work on both hardware and software integration, while Remote Firmware Engineers specialize in low-level firmware coding. The choice depends on whether the focus is on hardware-software integration or firmware development.

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

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

What cities in Ontario are hiring for Remote Embedded Engineer jobs?

Cities in Ontario with the most Remote Embedded Engineer job openings:

Infographic showing various Remote Embedded Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

RL Environment Engineer - Remote

YO AI Labs

Ottawa, ON โ€ข Remote

$80 - $120/hr

Full-time

Posted 9 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.