Set multi-year technical direction and target-state architecture for cross-domain engineering platform capabilities

Define strategy, investment priorities, sequencing, principles, standards, governance, reliability expectations, and decision frameworks

Resolve ambiguous architectural tradeoffs spanning organizations, product lines, suppliers, technology stacks, and delivery cadences

Improve engineering effectiveness and product outcomes through platforms, automation, reusable patterns, data, and operating models

Influence senior and executive leaders through recommendations grounded in technical judgment, risk, cost, quality, and business impact

Lead through principal and staff engineers, develop technical leaders, and strengthen communities of practice

Remain technically credible and selectively hands-on in high-value or high-risk problems

Define future-state architecture and multi-year roadmaps for the assigned domain and adjacent interfaces

Lead resolution of cross-domain technical risks involving architecture, quality, security, reliability, cost, scalability, and delivery continuity

Advise leadership on investments, program risk, platform health, and enterprise tradeoffs

Convene architecture reviews and technical communities across engineering, validation, cloud, cybersecurity, quality, program management, and suppliers

Sponsor platform capabilities, automation, data models, and self-service experiences

Define success measures and use evidence to prioritize improvements and verify impact

Represent GM's technical direction with internal and external partners while maintaining high standards for safety, quality, security, and customer impact

Requirements

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, including substantial experience leading architecture across organizations





Deep understanding of embedded and real-time software architecture

Record of delivering high-quality safety-critical or mission-critical products

Demonstrated enterprise or multi-organization technical influence without direct authority

Exceptional judgment in ambiguous, high-consequence technical decisions

Ability to communicate complex tradeoffs to technical and executive audiences

Strong experience with production engineering platforms, software delivery systems, or engineering productivity capabilities

Proficiency in Python and at least one additional language used in software or engineering-tooling environments

Significant depth in at least one of the four specialization areas and breadth to connect it to the others

Experience designing or governing systems involving embedded software, Linux, Git, CI/CD, cloud platforms, infrastructure as code, test automation, artifact management, data, APIs, or platform reliability

For Virtualization and CI infrastructure: significant CI/CD platform architecture experience; deep Kubernetes cluster operations, Terraform or comparable IaC module design, and production cloud architecture experience; enterprise security, compliance, progressive delivery, artifact flow, and observability standards; adoption of common virtual development platforms

For CI and Quality: enterprise CI/CD architecture, quality-gating policy, and release-readiness frameworks for embedded or vehicle software; understanding of MCU and SoC build systems, embedded Linux, AUTOSAR, Yocto, containers, cross-compilation, or vehicle deployment workflows; GitHub Enterprise or comparable platform governance; artifact promotion,



virtual and hardware validation, and secure delivery controls

For Test-system modernization: architecture and modernization strategy for large-scale embedded test systems; variation management, configuration comparison, change-impact analysis, and risk-based regression; test-result data models, APIs, analytics, diagnostics, and integrations; enterprise test standards

For Build-system modernization: enterprise embedded build-system architecture and developer-productivity strategy; large-scale migration from Make or shell orchestration to Bazel or comparable platforms; reusable rules, macros, toolchains, platforms, repository standards, artifact provenance, and reproducible builds; adoption and outcome measurement

GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future

Core Competencies Demonstrates expertise in defining multi-year technical direction and architecture for cross-domain engineering platforms, with a robust focus on embedded and real-time software systems. Proven ability to influence technical decisions and lead teams in delivering high-quality, safety-critical products while managing complex tradeoffs across organizations.

Highest-signal resume keywords

Multi-Year Technical Direction

Embedded Software Architecture

CI/CD Platform Architecture

Python Proficiency

Technical Influence

Hard Skills

Embedded Software

Real-Time Software Architecture

Production Engineering Platforms

Software Delivery Systems

Test Automation

Infrastructure as Code

Kubernetes

Terraform

Bazel

APIs

Soft Skills

Exceptional Judgment

Complex Tradeoff Communication

Leadership Development

Industry Keywords

Safety-Critical Products

Mission-Critical Products

Enterprise Security

Compliance

Quality-Gating Policy

Tools & Technologies

Linux

Git

Cloud Platforms

Artifact Management

GitHub Enterprise

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📌 Principal Software Engineer – Embedded Software Platform (Markham)
🏢 Jobtailor
📍 Markham