Staff Software Engineer - Embedded Software Platform

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.

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