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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Systems Engineer - Enterprise Systems Engineering Transformation Architect - **Company:** General Motors - **Location:** Little Rock, AR, United States (Remote available) - **Experience:** Expert - **Salary:** $201,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Application Integration Architecture, Systems Engineering, Configuration Management, Cyber Security, Data Governance, Data Security, Dataspaces, DevOps, GEOS, Identity and Access Management, Interoperability, Requirements Management, Software Engineering, Data Streaming, Systems Modeling Language, Systems Architecture, Systems Integration, Model-Driven Development, Enterprise Software Applications, Information Technology, Software Version Control - **Published:** October 10, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3430709444&tx=CT3331TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's in Engineering, Computer Science, IT, Technology, or other relevant degree * 8+ years relevant experience * Deep systems engineering and MBSE practice across requirements, architecture, behavior, interfaces, analysis, and V&V. * Enterprise architecture of complex engineering toolchains and data ecosystems. * SysML and model management, with practical understanding of SysML v1/v2 transition considerations. * Deploying and managing modern MBSE ecosystems. * Requirements management, bidirectional traceability, configuration/version management, and change-impact analysis. * Integration patterns, APIs, OSLC or equivalent standards, event/data flows, and identity/access management. * Product lifecycle management, software/ALM, simulation, safety, cybersecurity, and test-system integration. * Engineering process design, governance, capability maturity, migration, rollout, and organizational change. * Strong understanding of automotive or other complex cyber-physical product development. * Ability to make defensible make/buy/partner and platform decisions under uncertainty. ## Description Define and lead the future-state Systems Engineering operating model, MBSE tool ecosystem, and digital thread that connect stakeholder needs, requirements, architecture, analysis, safety, hardware/software development, verification, validation, configuration, and lifecycle evidence. The role converts GM's MBSE vision into an executable enterprise capability: a governed, model-driven ecosystem with authoritative data, reusable architecture patterns, automated traceability, adaptable to concurrent engineering process, and measurable adoption across programs. The role includes a focus on adapting industry-standard Systems Engineering approaches to incorporate Agile and concurrent engineering processes. GM's future-state direction calls for a model-driven digital ecosystem, common SE processes, predominantly model-based requirements, and end-to-end traceability. What You'll Do (Responsibilities) * Own the enterprise MBSE ecosystem architecture , including tool boundaries, authoritative sources, data ownership, interfaces, identity, configuration management, and lifecycle responsibilities. * Define the target operating model spanning people, process, methods, data, tools, governance, and adoption . * Establish the enterprise MBSE method, SysML profile, metamodel, ontology, viewpoints, modeling standards, and reusable libraries. * Architect MBSE integration across Requirements Management, System Architecture modeling, PLM, ALM/DevOps, simulation, safety, cybersecurity, test, configuration, and reporting environments. * Define/Tailor Systems Engineering process enabling a more concurrent and continuously integrated execution. * Define the minimum viable digital thread and sequence expansion based on business value, technical readiness, and adoption capacity. * Lead tool and technology evaluations using objective criteria such as interoperability, traceability, data portability, configuration control, scalability, security, vendor maturity, and total lifecycle cost. * Protect GM from unnecessary lock-in by keeping the method, metamodel, ontology, and process definitions as tool-independent as practical. * Establish the decision framework for existing-versus-modernized capabilities, including when to configure, integrate, migrate, retire, or replace. * Lead cross-functional architecture decisions involving GEOS, IT, Systems Engineering, software, hardware, safety, PLM, test, suppliers, and program leadership. * Define migration and coexistence strategies for legacy repositories and dual toolchains while maintaining operational continuity. * Create model-based lifecycle gates, readiness criteria, evidence expectations, and governance mechanisms. * Drive pilot-to-scale execution, ensuring that deployment follows proven engineering use cases rather than tool availability alone. * Establish outcome-based KPIs for traceability coverage, change-impact cycle time, architecture reuse, adoption, late design changes, defect escape, and engineering efficiency. * Shape supplier and partner roadmaps and represent GM's technical position in industry forums and strategic vendor engagements., * Approved current-state and future-state MBSE ecosystem architecture. * Deploy pilot and proof-of-concept MBSE environments, in support of tool selections and ecosystem architecture development. * Enterprise MBSE capability map, reference architecture, and decision-rights model. * Common SysML profile, metamodel, ontology, modeling guidelines, and reusable pattern strategy. * Validated integration architecture for requirements, MBSE, PLM, ALM/DevOps, simulation, safety, and test. * Pilot evidence supporting tool, configuration, interoperability, and adoption decisions. * Governed migration/coexistence plan for legacy requirements and modeling environments. * 18-month execution roadmap and longer-term strategic roadmap tied to investment and business cases. * Operating metrics and executive reporting for adoption, traceability, quality, and value realization., This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.