Staff System Architect – CoSim Diagnostics, NVM, Network & Data/Release

Job Description

Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure:

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

Hybrid :

This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum

About the role:

The Staff System Architect – CoSim Diagnostics, NVM, Network & Data/Release owns the end‑to‑end architecture for:

• Diagnostic access, NVM life‑cycle behavior, and network behavior/corruption models in L3/L4 CoSim and related pipelines, and
• The data model, traceability, dashboards, and documentation connecting capabilities, packages, configs, tests, and results for the Virtualization organization.

You will define how these behaviors and data flows are modeled, integrated into pipelines and exposed to test, quality, and program stakeholders, while ensuring alignment with security, safety, and release governance.

Key Responsibilities

1) CoSim & Virtual Platform Architecture (Diagnostics / NVM / Network)

• Own diagnostic access in L3/L4 CoSim and related pipelines.
• Define and implement diagnostics integration, including:
  • Support for off‑board tools (J2534‑equivalent) into CoSim.
  • Robust handling of RIDs/DIDs and associated diagnostic data flows.
  • DoIP flows in CoSim across virtual ECUs and networks.
• Provide clear diagnostic access methods and patterns for test and integration teams.
• Design and maintain NVM simulation behavior in CoSim:
  • Initialize from provided NVM snapshots.
  • Save on sleep and restore on boot.
  • Support behavior per configuration/variant.
• Own sleep/wakeup and power mode behavior in HWIO_SIM and related components, ensuring realistic ECU life‑cycle behavior.
• Define and document NVM strategies for virtual environments and ensure consistent application across programs.
• Develop and maintain network behavior models for virtual environments, with a focus on Ethernet/SOME-IP and CAN.
• Implement corruption/injection capabilities (e.g., frame drops, bit flips, latency/jitter, malformed frames) to support TFRP and other tests.
• Ensure network behavior models integrate cleanly with diagnostics and NVM behaviors for end‑to‑end test scenarios.
• Define where diagnostics, NVM, and network features integrate into:
  • L3/L4 CoSim pipelines
  • SOLE/SystemBench
  • SILART and related execution environments
• Provide clear APIs, configurations, and integration contracts so pipelines can reliably configure and consume these capabilities.
• Work closely with Pipeline & Execution, Plant Modeling, CoSim Package/Variant, and Build & Toolchain teams to ensure seamless, reproducible behavior in CI/CD and execution flows.

2) Data / Release, Traceability & Documentation (SILART & Virtualization)

• Define and maintain the traceability data model connecting:
  • Capabilities → features → packages → variants/configs → test plans → runs → metrics.
• Implement and maintain data integrations to:
  • Ingest logs/results from GMSIM, SOLE, Autobot/BDDbot, etc., into metrics stores (e.g., InSPIRE or equivalent).
• Build and support dashboards and reports (e.g., Power BI or similar) covering:
  • Execution metrics, coverage, and trends.
  • Package and variant health for CoSim/SILART.
• Standardize release documentation, including:
  • Markdown release notes for CoSim packages, wired into SOLE/portals.
  • High‑level “what changed / what was tested / under which configs” overviews for stakeholders.
• Own user‑facing documentation migration and structure (e.g., Centrals/Confluence), and ensure it remains aligned with actual tooling, flows, and pipelines.

3) HV/LV & Charging Domain

• Bring or rapidly build strong HV/LV and charging system context so CoSim behaviors and data models reflect how diagnostics, NVM, and network behavior impact HV/LV and charging use cases (e.g., AC/DC charge sessions, power flows, isolation, contactor behavior, DC/DC operation, safety interlocks).
• Apply working knowledge of Battery Management System (BMS) behavior, including cell/pack monitoring, balancing, limits, and protections, to shape realistic CoSim behaviors and test scenarios.
• Incorporate state-of-charge (SoC), state-of-health (SoH), and related HV battery KPIs into CoSim models, test conditions, and reporting so that coverage reflects real HV system constraints and degradation.
• Understand interactions between HV energy storage, LV networks, and onboard/offboard charging equipment, and how faults or limits propagate across those domains.
• Consider relevant V2X/V2G charging interactions and communication where applicable, ensuring virtual environments can represent key interface behaviors and failure modes.
• Work with HV/LV and charging feature teams to ensure CoSim environments support representative scenarios, edge cases, and fault conditions (e.g., failed charge attempts, derating, thermal limits, connector/cable issues, 12V support/limits).
• Ensure traceability and reporting capture key HV/LV and charging metrics and scenarios so stakeholders can understand coverage, residual risk, and readiness for programs.

Your Skills & Abilities (Qualifications)

• Bachelor of Science degree in Engineering, Computer Science, or a related technical field (or equivalent practical experience).
• 12+ years of experience in software, systems, or platform engineering, including significant work with virtualization, SIL/CoSim, or complex automotive ECU/tooling ecosystems.
• Strong understanding of automotive diagnostics, including:
  • UDS (Unified Diagnostic Services)
  • RIDs/DIDs (Routine/Diagnostic IDs)
  • DoIP (Diagnostics over IP)
• Familiarity with NVM handling and ECU boot sequences
• Experience with network simulation or protocol stacks, such as:
  • Ethernet and IP‑based communication
  • Simulated Ethernet or similar virtual network models
• Hands-on experience with modeling/scripting to implement behaviors and automation (e.g., Simulink, Python, Robot Framework, or equivalent).
• Strong background in data modeling, ETL, and reporting/BI, ideally in an engineering or test context.
• Experience building and maintaining data integrations and dashboards/reports (e.g., Power BI or similar) for execution metrics, coverage, and health.
• Scripting skills (Python, PowerShell, or similar) for log processing and API integration.
• Familiarity with Jira, CI/CD pipelines, and simulation tools’ logging conventions (e.g., GMSIM, dSPACE VEOS, ETAS COSYM, SOLE, Robot Framework, or similar).
• Excellent written communication for user documentation and release notes (Markdown, Confluence, Centrals, etc.).
• Proven ability to design, evolve, and maintain behavioral and data models that are consumed by multiple teams and tools.
• Strong collaboration skills with Pipeline & Execution, Plant Modeling, CoSim Package/Variant, Build & Toolchain, Quality/Defect stakeholders, and PMO.
• Ability to influence architecture and standards across organizational boundaries and sites.

What Can Give You a Competitive Edge (Preferred Qualifications)

• 15+ years of experience in software, systems, or platform engineering, including leadership of virtualization, SIL/CoSim, or data/traceability platform initiatives.
• Background in automotive or complex embedded systems, especially in areas such as battery management, propulsion, chassis, or body controls.
• Hands-on experience designing or integrating SIL/CoSim environments (e.g., virtual ECUs, FMUs, dSPACE VEOS, ETAS COSYM, SSP, or similar modeling/packaging standards).
• Experience with HV/LV and charging systems, including:
  • BMS behavior, SoC/SoH, and HV battery limits/protections.
  • AC/DC charging, onboard/offboard equipment, and interactions with LV networks.
  • Charging-related diagnostics and fault scenarios (e.g., failed charge sessions, derating, connector/cable and thermal issues).
• Experience with test orchestration and execution management across distributed resources (e.g., Robot Framework, cloud or lab schedulers, execution farms).
• Experience building or evolving traceability and metrics platforms that connect capabilities, features, packages, configs, test plans, and execution results.
• Exposure to cloud-hosted or containerized execution environments for virtualization/SIL and data pipelines.
• Demonstrated ability to lead cross-functional initiatives, influence technical direction without direct authority, and mentor senior engineers or architects.

What You’ll Bring

• A systems-thinking mindset across diagnostics, NVM, network behavior, data/traceability, and release practices.
• A passion for building realistic, observable, and well‑documented virtual environments that accelerate development and validation.
• Strong problem‑solving and debugging skills in complex, data‑rich, cross-team environments.
• The ability to set direction, standardize practices, and communicate clearly with both technical and non‑technical stakeholders.

Compensation: 

The salary range for this role is $147,000 to $196,600. 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:

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 including health care spending account and wellness incentive.
• 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, your family.







About GM

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