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

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 .

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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, and friends.