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Energy Manager - Customer Advisor - Open Blue
Johnson Controls
Richmond Hill, ON · Toronto, ON
Full-time
Monitor product usage analytics and provide feedback to customers.
Manager Software Development, Observability Platform
Wealthsimple Technologies
Remote, Canada
Full-time · Remote
The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their first day and every day after. Every request, job, and user action…
AI Solution Architect
EQ Bank
Toronto, ON
Full-time
The AI Solution Architect is a senior individual-contributor member of the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture…
Product Engineer (AI / Full-Stack)
Great Question
Remote, Canada
$150,000 to $180,000 USD / year
Full-time · Remote
…video streaming, realtime voice agents, agentic search, product analytics, and everything in between - working directly with the founders, our designer, and the rest of…
Principal Software Engineer - Embedded Software Platform
General Motors
Markham, ON
Full-time
Experience defining common test-result data models, APIs, analytics, diagnostics, and integrations across multiple engineering organizations.
Staff Software Engineer - Embedded Software Platform
General Motors
Markham, ON
Full-time
Communicate tradeoffs, risks, progress, and recommendations clearly to senior engineering and program leaders.
Principal Engineer, AI & ML Solutions
Royal Bank of Canada
Vancouver, BC
Full-time
We are looking for a Principal Engineer, AI & ML Solutions, to join our Global Functions Technology (GFT) team! In this role you'll lead the building of a new AI product from the ground up…
Principal Engineer, AI & ML Solutions
RBC
Vancouver, BC
Full-time
We are looking for a Principal Engineer, AI & ML Solutions, to join our Global Functions Technology (GFT) team! In this role you'll lead the building of a new AI product from the ground up…
Solution Engineer - Canada
Quantexa
Toronto, ON
Full-time
We are looking for an exceptional candidate to join our high-performing team of Solution Engineers/Field Engineers in Canada. You will collaborate closely with regional peers across…
Software Engineer - Open Data Platform (ODP)
Acceldata
Kitchener, ON
$70,000 to $100,000 CAD / year
Full-time
…power today’s most critical technologies, including AI, LLMs, Analytics, and…
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
Mentor Staff Engineers and Senior Engineers; develop technical leadership capabilities across the organization
AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
Full-time · Remote
Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior,…
Senior Product Manager, Fund Management
Purpose Unlimited
Toronto, ON
…built and in what order, working directly with operations, engineering, data, and compliance to solve the problems that matter most. You will lead from the front – not as a project manager…
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams…
Engineering Manager – Data Platform, Lakehouse Foundation
Lyft
Toronto, ON
As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI…
Customer Experience Engineer
Elation Health
Canada
Full-time
…the human role - it builds on it. The work becomes product intelligence: shaping how AI handles conversations, holding the customer-trust moments that need real judgment, and turning…
Senior Engineering Manager, Software
Verto Health
Remote, Canada
$150,000 to $200,000 CAD / year
Full-time · Remote
…live in the health systems we serve, reliably and at scale. As Senior Engineering Manager, Software, you own that side of the work. You will build and lead the engineering team, set the bar…
Senior Analyst, IT Network & Cloud Connectivity
Vale
Canada
Full-time
We are seeking a Senior Analyst, IT Network & Cloud Connectivity to join our IT Operations & Projects team in Toronto, Ontario.
Power Platform & Copilot Studio Architect
Softchoice
Toronto, ON · Ottawa, ON · Nova Scotia, Nova · Calgary, AB · Oakville, ON
This role reports to a Team Lead, Manager, or Senior Manager, Digital Architecture.
Lead AI Platform Engineer
EQ Bank
Toronto, ON
Full-time
The incumbent acts as a senior technical lead for platform engineering activities, guiding implementation decisions, establishing engineering patterns, mentoring team members, and…
Director, Data Engineering & Product Data
Indigo Books & Music
Toronto, ON
$125,000 to $170,000 CAD / year
Full-time
The Director, Data Engineering & Product Data is a senior technology leader accountable for three connected disciplines: enterprise data engineering, master data, and product data…
Director, Data Engineering & Product Data
Indigo
Toronto, ON
$125,000 to $170,000 CAD / year
Full-time
The Director, Data Engineering & Product Data is a senior technology leader accountable for three connected disciplines: enterprise data engineering, master data, and product data…
Software Developer Intern
DRW
Montreal, QC
…develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your internship. While your days will have you immersed in complex…
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
Internship
Work alongside senior field engineers and architects to solve complex platform reliability and data operations challenges.
Senior Business Analyst, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
This is a senior role on a multi-year investment platform transformation that is replacing our core investment book of record with BlackRock Aladdin and building a new cloud data platform…

General Motors

Staff Software Engineer - Embedded Software Platform

Markham, ON, Canada

Pay: The salary range for this role is $147,000 to $196,300.
Job type: Full-time
Apply by: Oct 3, 2026
Posting language: English
Posted: Sep 3, 2026

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Original job description

Job Description

Vacancy Status:

This posting is not for an existing vacancy within the organization and is open to new applications.

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.

The Role:

General Motors is seeking a Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles. This role is for a hands-on technical leader who can turn ambiguous, cross-team problems into durable architecture, practical standards, and measurable improvements in engineering effectiveness, release confidence, and product quality.

The successful candidate will lead a major capability across multiple teams, influence technical direction beyond their immediate organization, and connect software, tooling, infrastructure, test, and release activities into a coherent engineering system. The role may align to one or more of the four specialization areas below.

Expectations and Impact:

Own the architecture, technical roadmap, and execution strategy for a significant platform capability or a set of related initiatives.

Lead high-impact, multi-team technical efforts from problem definition through adoption and operationalization.

Establish reusable patterns, standards, quality controls, and developer experiences that improve consistency and speed across teams.

Make sound architectural decisions in complex embedded, real-time, cloud, simulation, test, and release environments.

Use engineering data and operational signals to prioritize improvements in reliability, feedback time, quality, and developer productivity.

Influence without relying on direct authority; align engineering, validation, cybersecurity, cloud, quality, program, and supplier stakeholders.

Remain hands-on in the most difficult technical problems while enabling others through coaching, mentoring, documentation, and technical leadership.

Communicate tradeoffs, risks, progress, and recommendations clearly to senior engineering and program leaders.

Specialization Areas:

1. Virtualization and CI infrastructure

Define and evolve the platform used to build, test, and deploy virtualized vehicle software across embedded, simulation, and cloud environments. Work may include enterprise CI/CD architecture, GitOps delivery on Kubernetes, Terraform and infrastructure-as-code patterns, progressive delivery and rollback, artifact flows, security and compliance integration, and observability for pipelines and simulation workloads.

Virtualization- specific basic qualifications

Experience designing or delivering CI/CD platforms for embedded, simulation, or cloud workloads.

Hands-on experience with Kubernetes, Terraform or comparable infrastructure-as-code practices, and production cloud environments.

Experience with embedded or simulation workflows such as vECUs, SIL, FMU, or SSP.

Ability to translate platform architecture into reusable automation, standards, and operational practices.

2. Continuous integration and quality gating

Architect traceable delivery flows that safely move software and related inputs from pull request through component, system, virtual, physical, and release validation. Work may include GitHub Enterprise workflows, artifact promotion, dependency and configuration management, mainline protection, tiered quality gates, test-evidence policy, embedded and vehicle-level compatibility checks, release readiness, and pipeline-health metrics.

CI-specific basic qualifications

Experience architecting or implementing end-to-end CI/CD and quality-gating workflows for embedded software.

Experience with GitHub Enterprise or comparable source-control and pipeline platforms, artifact repositories, and automated test evidence.

Understanding embedded and vehicle-system integration across ECUs, MCUs, SoCs, containers, networks, configuration, or calibration.

Experience incorporating static analysis, security scanning, coverage, integration testing, simulation, or hardware-based validation into delivery controls.

3. Test-system modernization

Modernize large-scale embedded test systems so standardized, headless, automated testing can run repeatedly across virtual and physical environments. Work may include test execution architecture, configuration and variation management, change-impact analysis, risk-based regression selection, test-result schemas and APIs, Databricks-enabled analytics, diagnostics, failure triage, and integration with CI/CD, test management, and issue-management workflows.

Specialization-specific basic qualifications

Experience architecting embedded test automation and build-to-test pipelines across virtual or physical environments.

Experience with configuration and variation management, change-impact analysis, or risk-based regression testing.

Experience modeling test results and integrating test execution with APIs, analytics platforms such as Databricks, diagnostics, or issue-management workflows.

Proficiency with engineering automation tools such as Linux, Git, Python, Bash, Robot Framework, containers, or infrastructure as code.

4. Build-system modernization

Modernize embedded build and test infrastructure by creating scalable, reproducible, secure, and developer-friendly workflows. Work may include transitioning legacy Make or shell orchestration to Bazel, developing reusable rules, macros, toolchains, platforms, and repository standards, migrating firmware and generated code, integrating build systems with CI/CD and release processes, improving caching and parallelism, and evaluating AI-assisted engineering workflows with measurable outcomes.

Build System-specific basic qualifications

Experience building and maintaining production software systems, with proficiency in Python and at least one additional engineering-tooling language.

Experience in automotive, embedded, safety-related, calibration, or systems-engineering environments.

Experience migrating Make or shell-based build orchestration to Bazel or a comparable scalable build system.

Experience with embedded cross-compilation, toolchains, generated code, firmware, build reproducibility, or CI/CD integration.

What You’ll Do:

Define target-state architecture, phased roadmaps, and implementation priorities for the assigned capability.

Lead architecture reviews, technical working sessions, design decisions, and cross-functional alignment.

Identify manual handoffs, duplicated work, late integration points, unreliable signals, and other systemic sources of delay or quality escape.

Deliver or guide production-quality software, automation, platform components, and integrations.

Create standards and reusable patterns that make the preferred engineering path the easiest path for product teams and suppliers.

Establish clear ownership, entry and exit criteria, operational expectations, and exception-management practices.

Instrument the platform and use data to identify root causes, guide investment, and demonstrate measurable improvement.

Partner with teams responsible for embedded software, vehicle integration, validation, developer experience, cloud, cybersecurity, artifact management, and program delivery.

Coach senior engineers and help grow technical leadership across the organization.

Your Skills & Abilities (Required Qualifications):

Bachelor’s degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering, or a related technical field, or equivalent practical experience.

Typically, 15 or more years of experience developing, integrating, deploying, or validating software systems.

Deep understanding of embedded and real-time software architecture and experience delivering high-quality safety-critical or otherwise mission-critical products.

Demonstrated success leading complex technical initiatives across multiple teams or organizations.

Strong problem-solving, analytical, communication, and prioritization skills in an action-oriented environment.

Production experience with engineering tools and systems; proficiency in Python and at least one additional language used in software or engineering-tooling environments.

Experience in at least one of the four specialization areas described above, with the ability to collaborate across the others.

Experience with relevant technologies such as Linux, Git, containers, CI/CD, cloud platforms, infrastructure as code, test automation, artifact repositories, or data and API platforms, as applicable to the selected specialization.

What Will Give You a Competitive Edge (Preferred Qualifications):

Experience in automotive, aerospace, defense, industrial, or another embedded, real-time, regulated, or safety-critical environment.

Knowledge of functional safety, ISO 26262, cybersecurity engineering, ASPICE, MISRA, AUTOSAR, or related engineering practices.

Experience with virtual and hardware-based validation, including SIL, CoSIM, vECU, HIL, benches, or system-level testing.

Experience establishing platform products, reusable templates, developer self-service, engineering standards, or reliability objectives.

Advanced degree in a related technical field.

Measures of Success:

Improved build, test, integration, release, and developer feedback speed without compromising quality.

More reproducible, traceable, secure, and observable engineering workflows.

Earlier detection and faster resolution of integration defects, pipeline failures, and invalid quality signals.

Strong adoption of common platforms, standards, and automation by product teams and suppliers.

Measurable gains in release confidence, mainline stability, test effectiveness, and engineering productivity.

Compensation:

The salary range for this role is $147,000 to $196,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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More about this job

Responsibilities

The Staff Software Engineer will lead the architecture and execution strategy for embedded software platforms to improve engineering effectiveness and product quality. They will guide cross-functional teams in developing scalable, reproducible, and secure workflows for software-defined vehicles.

Requirements

Candidates must have at least 15 years of experience in software systems development and a bachelor's degree in a relevant technical field. Proficiency in Python and experience with embedded software architecture, CI/CD, and technical leadership are required.

Skills

Embedded software
CI/CD
Kubernetes
Terraform
Python
Bazel
System architecture
Test automation
Cloud platforms
Infrastructure as code
Git
Linux
Software-defined vehicles
Technical leadership
Embedded systems
Virtualization

Benefits

Paid time off
Pregnancy, parental and adoption leave
Healthcare
Dental
Vision
Life insurance
GM vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

Embedded Software
CI/CD
Kubernetes
Terraform
Python
Bazel
Software-defined Vehicles
Cloud
Virtualization
Test Automation
Git
Linux
Infrastructure as Code
Automotive
Safety-critical
System Architecture
GitHub Enterprise
SIL
vECU
Databricks
API
Cybersecurity
ISO 26262
ASPICE
AUTOSAR
Firmware
Cross-compilation
Engineering Productivity
Technical Leadership
Software Engineering

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