Program Engineering Manager – Software & Electronics Platform

General Motors

. Define the persistent HIL and physical-validation strategy for HIL benches, night-regression environments, Co-Sim, CVF, and related physical validation assets .

Posted 10/5/2026full-timeWarren • Michigan • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing physical engineering assets, including HIL, Co-Sim, and validation infrastructure, while ensuring alignment with vehicle integration and software releases. Proven ability to lead cross-functional teams and communicate complex technical information effectively.

Highest-signal resume keywords

HIL ManagementCo-Simulation ExpertiseAsset Readiness CoordinationHardware/Software IntegrationTest Automation Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Engineering ExperienceValidation InfrastructureTest Benches ManagementConfiguration ManagementCalibrationECU ManagementInstrumentationNetwork ConfigurationSoftware-Defined VehiclesDigital-Thread Systems

Soft Skills

Strong Communication SkillsLeadership Through InfluenceDecision-MakingProblem-SolvingCollaboration

Tools & Technologies

TeamcenterBench BOMDSI/VPI Release ProcessesTest Asset ManagementHigh-Performance Compute

Industry Keywords

Vehicle IntegrationNight RegressionSDV2Centralized ComputeDiagnostics

About the role

Key responsibilities & impact

Define the persistent HIL and physical-validation strategy for HIL benches, night-regression environments, Co-Sim, CVF, and related physical validation assets
Define asset purpose, capability, ownership, location, users, capacity, availability, lifecycle, upgrade path, and retirement criteria
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
Integrate asset readiness into platform execution plans with owners, dates, dependencies, decision points, readiness criteria, and recovery actions
Provide decision-ready views of bench and lab readiness, open issues, configuration risks, capacity constraints, and milestone confidence
Drive asset-related issues across organizational and technical boundaries through ownership, decision, implementation, and verified closure
Represent asset readiness in PAPIR, Dev/Val, quality-readiness, launch, and other relevant reviews
Establish the SDV2 asset portfolio and onboarding model 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
Create a repeatable onboarding model using common enterprise infrastructure and standards
Establish and maintain the Bench BOM for persistent HIL and regression environments
Coordinate eBoM and tech packages, part numbers, 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 version-controlled eBOM and Teamcenter release models
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
Establish physical and operational requirements for night-regression test chambers and persistent regression environments
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
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
Establish recurring asset-readiness operating rhythms with 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 unified positions on asset readiness, risks, decisions, investment needs, and recovery plans
Translate technical complexity into concise, decision-ready information for senior reviews
Report to the Chief Engineer, Software & Electronics Platform, and partner with the Program Engineering Manager
Lead technical strategy for persistent HIL and validation infrastructure

Requirements

What you’ll need

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
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
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
Preferred: minimum of 10 years of engineering experience in relevant areas
Preferred: Master's degree in engineering, computer science, electrical engineering, systems engineering, or a related technical discipline, or equivalent experience
Preferred experience supporting software-defined vehicles, SDV2, centralized or high-performance compute, vehicle networks, OTA delivery, diagnostics, or vehicle-level integration
Preferred experience establishing persistent HIL benches, night-regression chambers, Co-Sim environments, CVF environments, or enterprise validation infrastructure
Preferred experience with Teamcenter, Bench BOMs, DSI/VPI release processes, configuration management, calibration, test asset management, or related digital-thread systems
Preferred experience working across vehicle software, vehicle electronics, hardware, systems engineering, validation, manufacturing, quality, suppliers, and lab operations
Preferred track record of improving execution systems, lab utilization, test throughput, asset availability, configuration integrity, operating rhythms, or organizational clarity
Preferred experience building investment cases, capacity plans, lifecycle strategies, spares strategies, or obsolescence plans for engineering infrastructure
Selected candidate must report to the designated location at least three times per week, or at another frequency dictated by the manager
Ability to travel less than 25% for the role

Benefits

Comp & perks

Company vehicle evaluation program, including assignment of a General Motors vehicle to drive and evaluate, subject to motor vehicle report review
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Relocation benefits for candidates who qualify under company policy