This posting is for an existing vacancy within the organization and is open to new applications. As part of the application process, Artificial Intelligence will be used in the hiring process for this role This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.

The Senior Systems

Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation coverage of end-to-end vehicle data collection capabilities across embedded systems, cloud services, and data platforms. This role is focused on building strong systems engineering foundations for data engineering and data collection capabilities, including end-to-end systems requirements management, system architecture alignment, verification planning, validation coverage and compliance, integration into vehicle programs, performance monitoring, and operational observability. The successful candidate will serve as a technical systems engineering leader who connects product intent to system behavior, vehicle integration, verification evidence, and operational outcomes.

They will collaborate closely with system and software architects, operations, testing, product and program managers, and senior data engineering leadership to ensure capabilities are scalable, observable, compliant, and ready for deployment across vehicle programs. Lead end-to-end systems requirements management for vehicle data collection and data engineering capabilities, translating product and program needs into clear, testable, and traceable system requirements across vehicle, edge, and cloud components. Drive systems architecture alignment for DDC capabilities, ensuring requirements, interfaces, operational flows, and deployment models are consistent across embedded agents, gateways, cloud ingestion pipelines, and downstream data platforms.

Own verification planning for new and existing capabilities, including definition of verification strategies, test scopes, entry and exit criteria, coverage expectations, and compliance evidence needed for release readiness and vehicle program integration. Define and mature systems-level observability requirements so teams can monitor feature performance, fault behavior, service health, configuration uptake, population status, and end-to-end data transport across development, validation, exposure, and production environments. Establish performance monitoring and capability observability frameworks that make it possible to assess whether features are functioning as expected, whether data sources are producing expected outputs, and whether uploaded data is reaching the intended storage and analytics destinations.

Partner with software, systems,



and operations teams to define verification and validation coverage across the DDC capability domains, including logs, metrics, traces, binary files, functional signals, configuration distribution, and vehicle/data lifecycle behaviors. Ensure robust traceability between capability requirements, architecture decisions, configuration states, deployed campaigns, captured data, and verification evidence so engineering teams can understand what was deployed, where it ran, and under what conditions data was collected. Collaborate with operations and cloud teams to ensure configuration, release, exposure, and deployment workflows are reflected in systems requirements and verification plans, especially for staged rollout, safe change management, and auditable deployment outcomes.

Contribute to capability reviews, design reviews, and program milestones by communicating technical risk, verification status, coverage gaps, and system performance trends to engineering leadership and stakeholders. Mentor other engineers in systems thinking, requirements quality, verification strategy, observability-driven engineering, and cross-functional technical collaboration. Bachelor’s degree in Systems Engineering, Computer Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related technical field. ~8+ years of experience in systems engineering, software engineering, validation, or architecture for complex embedded, distributed, or cloud-connected systems. ~ Strong experience defining and managing end-to-end system requirements for multi-layer systems spanning embedded software, vehicle networks, cloud services, and data platforms. ~ Experience using requirements and project management tools like DOORS, Rhapsody, Jira, etc. ~ Demonstrated experience in system architecture, interface definition, and technical decomposition of complex capabilities into verifiable requirements and subsystem responsibilities. ~ Experience building verification strategies, test plans, and coverage models for integrated systems, including functional, integration, performance, and end-to-end validation. ~ Strong understanding of observability and performance monitoring concepts, including logs, metrics, traces, service health indicators, and operational dashboards. ~ Experience working with vehicle or edge data collection systems, telemetry pipelines, or distributed data platforms handling structured and unstructured data.



~ Ability to collaborate effectively across systems engineering, software, operations, testing, product management, and program management functions. ~ Strong written and verbal communication skills, with the ability to present technical tradeoffs, requirements, and verification status to senior leadership.

Master’s degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Experience in automotive, connected vehicle, or vehicle software development environments.

Experience with observability ecosystems and telemetry standards such as OpenTelemetry, Grafana, Databricks or similar monitoring and analytics platforms.

Experience with configuration, release, deployment, or exposure workflows for vehicle software or fleet data collection capabilities. Familiarity with cloud platforms and data engineering ecosystems such as Azure, AWS, Databricks, or equivalent large-scale data environments.

Experience with requirements traceability, compliance-oriented verification, and evidence-based release or deployment readiness reviews. Working knowledge of Agile development processes, CI/CD practices, and cross-functional product delivery in software-defined vehicle organizations.

Experience with Testable Functionality and Rollout Planning (TFRP) SysML/UML, Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Sparx Enterprise Architect, Capella, or equivalent tools) to model requirements, interfaces, behaviors, and traceability across vehicle, embedded, cloud, and data platform systems. Ability to build and apply an MBSE framework for data engineering systems, including modeling standards, architecture and capability decomposition, requirements-to-test traceability, verification mapping, configuration and version management, and integration with tools and workflows such as Jira, Git, requirements management, and observability/test platforms. 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. Paid time off including vacation days, holidays, and supplemental perks 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
- 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.

General

Motors offers opportunities to all job seekers including individuals with disabilities.

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