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Automotive Software Engineer Jobs in Ontario (NOW HIRING)

Engineer, AI & Software Testing

Toronto, ON · Hybrid

CA$95K - CA$145K/yr

Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility ... This role involves testing AI models and software for diverse use cases using various methodologies.

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... software engineers via code reviews, technical design reviews, and sharing general software ...

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader ... What we're looking for * 8+ years of software engineering experience, including significant hands ...

Python Test Developer

Waterloo, ON · On-site

CA$75K - CA$95K/yr

Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Electrical & Electronics Engineering, or Software Engineering * 5+ years of Automotive Software Test Automation ...

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Graphics Software Engineer, you will create the next ...

Showing results 21-40

Automotive Software Engineer information

See Ontario salary details

$27K

$98.7K

$164.5K

How much do automotive software engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for automotive software engineer in Ontario is $98,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $118,000.00 per year, depending on experience, location, and employer.

What are some common challenges automotive software engineers face when integrating software with vehicle hardware?

Automotive Software Engineers often encounter challenges related to ensuring seamless communication between software systems and a variety of vehicle hardware components, such as sensors and electronic control units (ECUs). This requires a deep understanding of embedded systems, real-time processing, and rigorous testing to meet industry safety and reliability standards. Additionally, engineers must adapt to rapidly evolving automotive technologies and maintain compliance with strict regulatory requirements. Collaboration with hardware engineers and cross-functional teams is essential to address these challenges efficiently.

What is an automotive software engineer?

An automotive software engineer is responsible for the design and development of software systems used in car technology. These solutions may be used to control various environmental systems of a car, such as its wheels for automatic parking. As an automotive software engineer, your job duties include designing software solutions, programming software, and troubleshooting bugs. The career typically requires a bachelor’s in engineering, although some employers may prefer a master’s degree. You also need experience with software or system development in the automotive field, as well as an understanding of software design methods, operating systems, and programming languages. Additional qualifications include excellent technical skills and analytical problem-solving ability.

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

To thrive as an Automotive Software Engineer, you need a strong background in computer science, embedded systems, and automotive-specific protocols, usually supported by a relevant degree. Proficiency with programming languages like C/C++, MATLAB/Simulink, and experience using automotive tools such as CAN, AUTOSAR, and diagnostic systems is essential. Strong problem-solving skills, attention to detail, and effective teamwork distinguish top performers in this role. These capabilities are crucial for developing reliable, safe, and innovative automotive software in a highly regulated and technologically advanced industry.
What are the most commonly searched types of Automotive Software Engineer jobs in Ontario? The most popular types of Automotive Software Engineer jobs in Ontario are:
What are popular job titles related to Automotive Software Engineer jobs in Ontario? For Automotive Software Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Automotive Software Engineer jobs in Ontario look for? The top searched job categories for Automotive Software Engineer jobs in Ontario are:
Infographic showing various Automotive Software Engineer job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,696 per year, or $47.5 per hour.

Full Stack Software Engineer, AutoSync

AutoTrader.ca

Toronto, ON • Remote

Full-time

Retirement

Re-posted 25 days ago


Job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.caAutoSyncDealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.
 
As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond.
 
Learn more at tradercorporation.com.
 
This role will be within the AutoSync team. AutoSync supports over 3,500 dealerships nationwide, delivering cutting-edge software tools to simplify operations, boost marketing, and drive sales.
 

Full Stack Software Engineer

Modern Platform Engineering & AI-First Development

We are looking for a Senior Full Stack Software Engineer to join our organization and help build and modernize large-scale digital platforms and customer-facing applications. This is an opportunity to work on complex modernization initiatives where modern web technologies, cloud-native architectures, and Agentic AI-powered engineering practices are reshaping how software is designed, built, tested, deployed, and operated.

You will be part of a high-performing Agile team delivering scalable solutions while leveraging AI throughout the entire Software Development Lifecycle (SDLC).

What You'll Be Working On

  • Designing, building, and modernizing large-scale web applications and digital platforms
  • Developing scalable frontend and backend solutions using modern full-stack technologies
  • Building and integrating APIs, services, and distributed systems
  • Delivering cloud-native solutions using AWS and modern platform engineering practices
  • Implementing observability, monitoring, reliability, and performance optimization strategies
  • Leveraging AI-assisted development workflows to accelerate delivery and improve quality
  • Driving engineering excellence through architecture, automation, and continuous improvement

What To Expect

  • Own solutions end-to-end with a "You Build It, You Run It" mindset, from architecture and development through deployment, monitoring, performance, reliability, and security.
  • Work in an AI-first engineering environment that leverages Agentic AI for requirements analysis, design reviews, pair programming, code generation, testing, documentation, code reviews, and operational insights.
  • Collaborate within cross-functional Agile teams, contribute to architecture discussions, share knowledge, mentor peers, and help drive engineering standards and continuous improvement.

Must-Have Experience

  • 5+ years building and operating scalable, highly available software systems in production environments
  • Strong understanding of software architecture, distributed systems, design patterns, and clean code principles
  • Expert proficiency with Python/TypeScript, React, Next.js, Node.js, REST APIs, and modern full-stack development practices
  • Experience building high-performance web applications using SSR, component-based architectures, and modern frontend frameworks
  • Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Redis
  • Experience designing and integrating APIs, microservices, and event-driven systems
  • Hands-on experience with AWS, Docker, Terraform, CI/CD pipelines, and modern cloud-native development practices
  • Experience with observability and production operations using tools such as Datadog, New Relic, logging, monitoring, tracing, and incident troubleshooting
  • Strong testing mindset with experience in automated testing, Playwright, unit, integration, API, and end-to-end testing
  • Experience working with Git, GitHub Actions, and modern software delivery workflows
  • Strong ownership mindset with a passion for quality, reliability, performance, and operational excellence
  • Proven experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar platforms to improve engineering productivity
  • Experience leveraging AI throughout the SDLC for code generation, testing, debugging, documentation, code reviews, and technical analysis
  • Familiarity with modern AI frameworks and tooling such as Vercel AI SDK, LangChain, LangGraph, OpenAI SDKs, Anthropic SDKs, MCP (Model Context Protocol), or agent-based development frameworks
  • Passion for emerging AI engineering practices including Agentic AI workflows, AI-powered SDLC automation, multi-agent systems, and intelligent developer tooling

What Success Looks Like - Successful engineers on this team:

  • Deliver high-quality software at scale
  • Leverage AI effectively throughout the SDLC
  • Contribute to architecture and platform evolution
  • Continuously improve engineering practices
  • Help accelerate the organization's transition toward AI-native software development
  • Build reliable, scalable, and maintainable solutions that create measurable business impact

What's In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

  • Gym discounts
  • Employee and Family Assistance program
  • Virtual wellness events
  • Conferences & training budget
  • Regular internal training programs
  • Financial planning with 3% matching Pension  
  • Competitive salary
  • Annual bonus structure