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Remote Embedded Systems Engineer Jobs in Vancouver, BC

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI/ML Engineer - Remote

Vancouver, BC · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI Sales Engineer

Vancouver, BC · Remote

CA$125K - CA$150K/yr

Flexible remote work environment. * Opportunities for professional growth and leadership ... By the way, we genuinely care about people and it is embedded into who we are. For us, equity and ...

AI Sales Engineer

Vancouver, BC · Remote

CA$125K - CA$150K/yr

Flexible remote work environment. * Opportunities for professional growth and leadership ... By the way, we genuinely care about people and it is embedded into who we are. For us, equity and ...

Senior Platform Engineer

Vancouver, BC · Remote

CA$157K - CA$212K/yr

The Systems Engineering team at Clio builds and operates the systems that power all of our cloud ... This posting is for an existing vacancy. #LI-Remote What you will find here: Compensation is one of ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

RAM Engineer

Vancouver, BC · On-site +1

CA$97K - CA$144K/yr

Familiarity with system safety concepts and interaction between safety and RAM activities is ... Hybrid (in-person and remote) work environment. * Comprehensive benefits package including wellness ...

RAM Engineer

Vancouver, BC · On-site +1

CA$97K - CA$144K/yr

Familiarity with system safety concepts and interaction between safety and RAM activities is ... Hybrid (in-person and remote) work environment. * Comprehensive benefits package including wellness ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Showing results 21-40

Remote Embedded Systems Engineer information

What is a remote embedded systems engineer?

A Remote Embedded Systems Engineer is a professional who designs, develops, and maintains embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems—while working remotely. These engineers work with hardware and software, often programming microcontrollers or processors, to create solutions for products like smart devices, automotive systems, or industrial machines. Their remote role means they collaborate virtually with teams, using tools for code development, debugging, and communication. Strong knowledge of C/C++, Linux, and real-time operating systems (RTOS) is often required. Remote Embedded Systems Engineers play a crucial role in the growing fields of IoT, automation, and smart technologies.

What are the key skills and qualifications needed to thrive as a remote embedded systems engineer, and why are they important?

To thrive as a Remote Embedded Systems Engineer, you need a solid background in electrical engineering, proficiency in C/C++ programming, and experience with embedded hardware and software design. Familiarity with development tools such as debuggers, oscilloscopes, version control systems (like Git), and RTOS platforms, as well as certifications like Certified Embedded Systems Engineer, are commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills set top candidates apart in this role. These skills are essential for developing reliable, high-performance embedded solutions while collaborating efficiently in distributed teams.

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

Remote Embedded Systems Engineers often collaborate with hardware teams through video conferencing, collaborative design tools, and remote access to development boards. Regular virtual meetings are scheduled for project updates, troubleshooting, and aligning on hardware-software integration requirements. To stay effective, engineers may use remote debugging tools and sometimes ship prototype hardware to their home office, ensuring they can test and validate firmware in real time. Clear documentation and proactive communication are essential for overcoming the physical distance and ensuring successful project outcomes.

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

AspectRemote Embedded Systems EngineerRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of embedded C/C++Bachelor's in Computer Science, Electrical Engineering; proficiency in embedded C, assembly, and RTOS
Work EnvironmentDesigning and testing hardware-software integration, often in R&D labs or remote setupsDeveloping low-level code for hardware devices, often in embedded systems or IoT projects
Employer & Industry UsageElectronics, automotive, aerospace, IoT companiesConsumer electronics, industrial automation, IoT device manufacturers

While both roles involve working with embedded hardware and software, the Remote Embedded Systems Engineer typically focuses on system design, integration, and testing, whereas the Remote Firmware Developer specializes in writing low-level firmware code for specific hardware components. Both roles require similar technical skills and often overlap in industry applications.

What are the most commonly searched types of Embedded Systems Engineer jobs in Vancouver, BC?

The most popular types of Embedded Systems Engineer jobs in Vancouver, BC are:

What job categories do people searching Remote Embedded Systems Engineer jobs in Vancouver, BC look for?

The top searched job categories for Remote Embedded Systems Engineer jobs in Vancouver, BC are:

Infographic showing various Remote Embedded Systems Engineer job openings in Vancouver, BC as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer - Remote

YO AI Labs

Vancouver, BC • Remote

$80 - $120/hr

Full-time

Posted 10 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.