Senior Engineering Manager – Adaptive Bench Compute

General Motors

. Lead and develop an approximately 15-person engineering organization across platform services, infrastructure, bench integration, scheduling, developer tooling, and test enablement .

Posted 10/28/2026full-timeSeattle • Washington • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams, developing technical roadmaps, and delivering measurable outcomes across platform services and infrastructure. Proficient in managing complex projects involving distributed systems, cloud infrastructure, and observability metrics.

Highest-signal resume keywords

Leadership Of Engineering TeamsTechnical Roadmap OwnershipDistributed Systems ExpertiseCloud Infrastructure ManagementObservability Metrics Definition

ATS Keywords

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Hard Skills

Software EngineeringInfrastructure EngineeringTest AutomationWorkflow OrchestrationAPIsData ModelsCapacity PlanningCost ModelingPerformance ManagementTechnical Tradeoff Evaluation

Soft Skills

People LeadershipCommunication SkillsCoachingTalent DevelopmentWorkload Planning

Tools & Technologies

CI/CDCloud InfrastructureGitHub ActionsPostgresKubernetesVaultNomadEntra IDDeveloper PlatformsResource Schedulers

Industry Keywords

Automotive SoftwareSDVADASHardware-In-The-LoopTest FarmsLab InfrastructureMulti-Site EngineeringLegacy Infrastructure MigrationService-Level ObjectivesPlatform KPIs

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesPostgresVaultGo

About the role

Key responsibilities & impact

Lead and develop an approximately 15-person engineering organization across platform services, infrastructure, bench integration, scheduling, developer tooling, and test enablement
Establish the operating model to scale from a single-lab MVP to a multi-site operation with hundreds of benches running automation 24/7
Own capacity and investment planning across cloud, hardware, networking, licensing, observability, and suppliers
Define observability metrics, run-rate spend, and cost-per-bench-hour baselines
Establish measurable targets for availability, throughput, latency, utilization, cost, capacity, and customer enablement
Own the multi-year roadmap and coordinate divisional stakeholders, IT, Networking, and lab operations to deliver capabilities beyond 500 benches
Direct end-to-end platform delivery across bench registration, inventory, scheduling, job execution, boot, results, artifacts, APIs, and developer tooling
Establish and review KSIs and KPIs covering onboarding, automation throughput, availability, queue time, bench utilization, data capacity, cost per bench-hour, and support responsiveness
Set the technical and operational bar for a high-throughput platform handling thousands of daily workflows and terabytes of evidence
Remove systemic blockers across network reachability, site readiness, identity, bench capacity, storage, data movement, and shared infrastructure
Recruit, coach, and retain engineers while building leadership depth, succession, and operating mechanisms
Partner with IT infrastructure, cloud, identity, database, security, platform-service, Networking, site, peer engineering, test-program, and leadership teams
Provide status, risk, KPI, capacity, and investment recommendations to program leadership

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience
10 to 15 or more years of professional experience in software, infrastructure, platform engineering, distributed systems, or test automation
7+ years of experience leading managers of managers and developing software or infrastructure engineering teams of 20+ engineers
Experience owning a technical roadmap and delivering measurable outcomes for a platform, product, or shared service
Strong understanding of distributed systems, service interfaces, APIs, data models, workflow orchestration, reliability, and operational practices
Experience with cloud infrastructure, CI/CD, identity and access management, secrets, databases, and observability
Ability to evaluate architecture and technical tradeoffs across application, infrastructure, networking, security, and physical-system boundaries
Ability to communicate technical risks and recommendations to engineering, program, and executive audiences
People-leadership skills, including hiring, coaching, performance management, feedback, workload planning, and talent development
Ability to work effectively across multiple teams and locations in a highly interdependent engineering environment
GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future
Preferred: experience with automotive software, SDV, ADAS, robotics, hardware-in-the-loop, physical test infrastructure, compute platforms, test farms, lab infrastructure, resource schedulers, developer platforms, Go, REST/OpenAPI, Postgres, Nomad or Kubernetes, Vault, Entra ID, GitHub Actions, artifact repositories, bench inventory, device provisioning, host bootstrapping, hardware discovery, physical-network integration, service-level objectives, platform KPIs, cost/capacity models, customer-adoption measures, multi-site or hybrid engineering teams, and legacy infrastructure migration

Benefits

Comp & perks

Relocation benefits are available for candidates who qualify under company policy
GM Total Rewards resources supporting employee well-being at work and at home