Program Engineering Manager – Software & Electronics Platform

General Motors•Milford, MI

21h•Hybrid

About The Position

The Software & Electronics Platform team is building the execution foundation for GM’s software-defined electric vehicles. We are looking for a Program Engineering Manager (PEM) to lead, define, and organize the physical assets that make persistent HIL, night regression, Co-Sim, CVF, and related validation environments effective for SDV2 and future platform architectures. This role is accountable for making complex work executable. You will establish the asset strategy, portfolio, standards, ownership model, configuration baseline, capacity plan, and lifecycle approach required to support platform and vehicle-program commitments. You will work directly with the platform PEMs and APEMs to connect bench and lab readiness to integrated execution plans, milestone confidence, issue resolution, launch readiness, and recovery actions. You will also work directly for and with the Chief Engineer, translating platform strategy into investment priorities, physical infrastructure decisions, cross-functional operating rhythms, and an enterprise-ready model for onboarding future programs. The successful candidate will be equally comfortable shaping strategy with senior leaders, solving complex technical and infrastructure problems, driving disciplined execution across engineering organizations, and turning a collection of benches and labs into a coherent persistent capability.

Requirements

Minimum of 8 years of engineering experience in relevant areas.
Bachelor's degree in engineering, computer science, electrical engineering, systems engineering, or a related technical discipline, or equivalent experience.
Demonstrated experience leading complex hardware, software, systems, validation, laboratory, or vehicle-program execution from strategy through delivery.
Experience with HIL, SIL, Co-Sim, vehicle integration, night regression, test automation, validation infrastructure, or comparable engineering environments.
Experience defining or managing physical engineering assets, laboratories, test benches, ECUs, harnesses, instrumentation, networks, compute, or related infrastructure.
Experience managing technical dependencies, configuration baselines, asset readiness, milestone timing, risks, recovery plans, escalations, and executive-level decisions.
Demonstrated ability to lead through influence across multiple organizations with shared accountability.
Strong understanding of hardware/software integration and the relationship between physical assets, software releases, calibration, test content, and vehicle readiness.
Strong written and verbal communication skills, including the ability to make complex technical and infrastructure topics clear and actionable.

Nice To Haves

Minimum of 10 years of engineering experience in relevant areas.
Master's degree in engineering, computer science, electrical engineering, systems engineering, or a related technical discipline, or equivalent experience.
Experience supporting software-defined vehicles, SDV2, centralized or high-performance compute, vehicle networks, OTA delivery, diagnostics, or vehicle-level integration.
Experience establishing persistent HIL benches, night-regression chambers, Co-Sim environments, CVF environments, or enterprise validation infrastructure.
Experience with Teamcenter, Bench BOMs, DSI/VPI release processes, configuration management, calibration, test asset management, or related digital-thread systems.
Experience working across vehicle software, vehicle electronics, hardware, systems engineering, validation, manufacturing, quality, suppliers, and lab operations.
Track record of improving execution systems, lab utilization, test throughput, asset availability, configuration integrity, operating rhythms, or organizational clarity.
Experience building investment cases, capacity plans, lifecycle strategies, spares strategies, or obsolescence plans for engineering infrastructure.

Responsibilities

Define the persistent HIL and physical-validation strategy
Establish the current-state and future-state strategy for persistent HIL benches, night-regression environments, Co-Sim, CVF, and related physical validation assets.
Define and align asset purpose, capability, ownership, location, users, capacity, availability, lifecycle, upgrade path, and retirement criteria with the physical asset build team and engineering leaders responsible for testing
Build a prioritized physical-asset roadmap aligned to SDV2, vehicle-program timing, build events, launch needs, and future program onboarding.
Identify common-platform capabilities, program-specific needs, capacity gaps, duplicated infrastructure, and obsolescence risks.
Partner with the PEM to drive integrated execution
Work directly with the PEMs to integrate asset readiness into the platform execution plan.
Translate physical infrastructure needs into accountable owners, dates, dependencies, decision points, readiness criteria, and recovery actions.
Provide a single, decision-ready view of bench and lab readiness, open issues, configuration risks, capacity constraints, and milestone confidence.
Drive asset-related issues across organizational and technical boundaries from ambiguity to ownership, decision, implementation, and verified closure.
Represent asset readiness in PAPIR, Dev/Val, quality-readiness reviews, launch reviews, and other forums as appropriate.
Establish the SDV2 asset portfolio and onboarding model
Define the persistent HIL and regression baseline for BT1, N1, T1, C1, and future programs.
Align physical assets to platform features, ECUs, electrical and logical topology, interfaces, diagnostics, calibration, software releases, test assets, and vehicle-integration activities.
Create a repeatable onboarding model so future programs can use common enterprise infrastructure and standards.
Ensure asset readiness is visible through relevant GVDP, software-quality, vehicle-integration, and launch milestones.
Govern configuration, Bench BOM, and release integrity
Establish and maintain the Bench BOM for persistent HIL and regression environments.
Coordinate tech packages (eBoM), part numbers, required attributes, I/O configurations, software-channel data, virtual models, variant rules, calibration content, harnesses, ECUs, instrumentation, and test-support hardware.
Align deployed bench configurations to the version-controlled eBOM and Teamcenter release model.
Ensure correct hardware, software, calibration, and configuration versions are built into Co-Sim, HIL, CVF, and regression environments.
Coordinate DSI and VPI eBOM releases, Co-Sim setup, configuration/calibration generation, and formal release to HIL and CVF benches.
Build a persistent regression capability
Establish the physical and operational requirements for night-regression test chambers and persistent regression environments.
Ensure environments can consume virtual models, I/O configurations, software information, 3D math, TBECs, calibration data, and related test assets.
Define run cadence, access and reservation rules, maintenance windows, failure response, data capture, and result ownership.
Partner with software, hardware, validation, and release teams to improve regression throughput, coverage, repeatability, and confidence.
Organize physical infrastructure and lifecycle management
Define requirements for bench hardware, ECUs, harnesses, power supplies, networks, instrumentation, simulators, compute, storage, environmental controls, safety provisions, and lab space.
Track asset health, utilization, availability, downtime, blocked work, service response, and cost.
Make investment and tradeoff recommendations to the Chief Engineer.
Lead cross-functional operating rhythms
Establish a recurring asset-readiness cadence with the PEM, software release, hardware, systems engineering, PMO, quality, manufacturing, suppliers, and lab owners.
Create standard work for asset planning, onboarding, readiness assessment, change control, escalation, bench release, and execution-health reporting.
Communicate a unified position on asset readiness, risks, decisions, investment needs, and recovery plans.
Convert technical complexity into concise, decision-ready information for senior reviews.