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Embedded Software Verification Engineer Jobs in Edmonton, AB

YO AI Labs

Backend Engineer - Remote

Edmonton, AB · Remote

$80 - $120/hr

... 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 ...

YO AI Labs

AI Trainer - Remote

Edmonton, AB · Remote

$80 - $120/hr

... 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 ...

YO AI Labs

Backend Developer - Remote

Edmonton, AB · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Egis Group

Lead Electrical Engineer

Edmonton, AB

Perform field inspections and construction verification activities to confirm compliance with ... Experience using AutoCAD and other electrical design software. Assets * Knowledge of sustainability ...

Promise Robotics

Want to work with us?

Edmonton, AB · On-site

Software Engineering * Hardware Engineering * Production * Finance * People Operations * Marketing ... verification signals in application materials based on available information. These tools assist ...

YO AI Labs

AI Technical Trainer - Remote

Edmonton, AB · Remote

$80 - $120/hr

... 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 ...

Applied Pharma

Specialist, Engineering

Edmonton, AB · On-site

We are seeking a hands-on Engineer to support the installation, commissioning, qualification ... Participate in FAT and SAT activities to verify equipment performance and compliance with user ...

Katch Kan

CNC Programmer/Machinist

Edmonton, AB · On-site

CA$30 - CA$38/hr

Measure and inspect completed parts to verify dimensional accuracy and ensure they meet drawing and ... Preferred Software Experience * Office 365 - MS Word, Outlook, Excel, PowerPoint, Teams * Site Docs

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Embedded Software Verification Engineer information

What does an embedded software verification engineer do?

An Embedded Software Verification Engineer is responsible for ensuring that embedded software systems function correctly and meet design requirements. They create and execute tests, analyze results, and identify software defects in embedded systems such as automotive controllers, medical devices, or consumer electronics. This role typically involves working closely with software developers and hardware engineers to review code, develop test plans, and use debugging tools to validate the software’s functionality, performance, and safety. Their work is crucial for delivering reliable products that operate safely and efficiently in real-world environments.

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

To thrive as an Embedded Software Verification Engineer, a strong background in embedded systems, programming (C/C++), and software testing methodologies is essential, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with tools such as MATLAB/Simulink, debuggers, oscilloscopes, and verification frameworks, as well as certifications like ISTQB, are commonly required. Attention to detail, problem-solving abilities, and effective communication help engineers identify issues and work collaboratively in cross-functional teams. These skills ensure the development of reliable, safe, and high-quality embedded systems in safety-critical industries.

What are some common challenges faced by embedded software verification engineers during the validation process?

Embedded Software Verification Engineers often encounter challenges such as limited hardware availability, rapidly changing requirements, and integration issues with multiple hardware and software components. Debugging in an embedded environment can be more complex due to constrained system resources and limited visibility into the hardware-software interactions. Collaborating closely with both hardware and firmware teams is essential to quickly identify and resolve defects, making strong communication and problem-solving skills crucial for success in this role.

What is the difference between Embedded Software Verification Engineer vs Embedded Software Developer?

AspectEmbedded Software Verification EngineerEmbedded Software Developer
Primary FocusVerifying and validating embedded software to ensure quality and reliabilityDesigning, coding, and implementing embedded software solutions
Skills & CertificationsKnowledge of testing tools, verification processes, embedded systems, certifications like ISTQBProficiency in programming languages (C, C++), embedded systems, software development certifications
Work EnvironmentTesting labs, development teams, quality assurance departmentsDevelopment teams, R&D labs, product engineering

While both roles require embedded systems knowledge and programming skills, the Embedded Software Verification Engineer primarily focuses on testing, validation, and ensuring software quality, whereas the Embedded Software Developer concentrates on creating and implementing embedded software solutions.

What are popular job titles related to Embedded Software Verification Engineer jobs in Edmonton, AB?

For Embedded Software Verification Engineer jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Embedded Software Verification Engineer jobs in Edmonton, AB look for?

The top searched job categories for Embedded Software Verification Engineer jobs in Edmonton, AB are:

Embedded Software Verification Engineer jobs near you
Infographic showing various Embedded Software Verification Engineer job openings in Edmonton, AB as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

SWE AI Training Data Expert - Remote

Edmonton, AB • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 18 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.