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General Motors

Principal Engineer – PVTP Architecture

General Motors

. Define and drive the target architecture and long-term roadmap for the Physical and Virtual Test Platforms ecosystem .

Posted 10/30/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining target architecture and driving long-term roadmaps for test platforms, with a strong focus on AI strategy, technical mentorship, and cross-functional collaboration. Proficient in architecting complex ecosystems and leading multi-team technical programs to enhance operational effectiveness and engineering productivity.

Highest-signal resume keywords
Architecture DesignTest AutomationCross-Functional LeadershipAI Strategy ImplementationCloud Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringSystems EngineeringPlatform ArchitectureTest AutomationSimulationPerformance AnalysisTechnical DocumentationObservabilityContinuous IntegrationContinuous Delivery
Soft Skills
Strong CommunicationInfluence Skills
Tools & Technologies
Source ControlAutomated TestingCloud InfrastructureHybrid InfrastructureNetworkingIdentity and Access ManagementSecurityStorageDatabasesDistributed Workflow Systems
Industry Keywords
Automotive SoftwareSoftware-Defined VehiclesHardware-In-The-LoopSoftware-In-The-LoopVehicle IntegrationPhysical Test InfrastructureGenerative AIAI AgentsLLM-Based Tools

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Define and drive the target architecture and long-term roadmap for the Physical and Virtual Test Platforms ecosystem
  • Establish interfaces, APIs, ownership boundaries, and decision rights for physical and virtual test environments
  • Enable common interfaces, portable workloads, reusable test capabilities, and consistent operating patterns
  • Shape AI strategy and investment priorities for test execution, asset readiness, operational effectiveness, and engineering productivity
  • Lead complex investigations and root-cause analyses across software, infrastructure, network, physical-test, virtual-test, and operational boundaries
  • Provide technical mentorship and direction to Staff and Principal Engineers and emerging technical leaders
  • Establish design-review and engineering-practice standards
  • Partner across and outside PVTP to align solutions with broader GM needs
  • Communicate technical risks and tradeoffs and drive decisions with engineering, program, operations, supplier, and executive audiences
  • Remain close to implementation through architecture reviews, investigations, prototypes, and critical issue resolution

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Systems Engineering, or a related field; or equivalent experience
  • Fifteen or more years of experience in software, systems, platform, infrastructure, test automation, simulation, or related engineering disciplines, including production-grade systems
  • Proven experience architecting complex, interdependent platforms or ecosystems spanning multiple engineering teams, technology domains, and operational environments
  • Experience leading multi-team or cross-functional technical programs from concept through production operation and continuous improvement
  • Proficiency with source control, continuous integration and delivery, automated testing, technical documentation, observability, and performance analysis
  • Strong communication and influence skills across technical, cross-functional, supplier, and executive audiences
  • Must not require GM immigration-related sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, and J-1 sponsorship
  • Master’s degree is a preferred qualification
  • Background in automotive software, software-defined vehicles, hardware-in-the-loop, software-in-the-loop, simulation, virtualization, vehicle integration, or physical test infrastructure is preferred
  • Experience applying approved Generative AI, AI agents, and LLM-based tools to production engineering workflows is preferred
  • Experience with cloud and hybrid infrastructure, networking, identity and access management, security, storage, databases, distributed workflow systems, or comparable platform technologies is preferred

Benefits

Comp & perks
  • Benefits overview supporting well-being at work and at home
  • Total Rewards resources
  • Inclusive workplace and belonging initiatives
  • Reasonable accommodations for applicants with disabilities