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Senior Engineering Manager - Adaptive Bench Compute

  • Localização
    • Seattle, Washington
    • Seattle, Washington
  • Tipo de trabalho Full time
  • Postou
  • Job Requisition JR-202622840

Descrição

The Role  

The Senior Manager, Software Engineering for Adaptive Bench Compute leads the team that delivers scalable, on-demand compute infrastructure for automotive test and simulation bench environments. This role owns the day-to-day technical direction, roadmap execution, reliability, and customer enablement of a multi-site platform spanning bench orchestration, scheduling, identity, inventory, job execution, observability, and results management. The Senior manager translates test-program needs into durable platform capabilities, establishes measurable operating outcomes, and builds a high-performing team that can support expanding hardware-in-the-loop workloads across GM. Success requires strong technical judgment, disciplined execution, and the ability to align peer engineering teams around shared outcomes.  


What You'll Do  

  • Lead and develop the 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. Make transparent investment decisions for multi-location labs hosting millions of dollars in bench assets and define critical observability metrics; establish run-rate spend and cost-per-bench-hour baselines. 
  • Establish measurable targets for availability, throughput, latency, utilization, cost, capacity, and customer enablement, and use data-driven diagnostics to drive continuous improvement. 
  • Own the multi-year roadmap and coordinate divisional stakeholders, IT and Networking, and lab operations to deliver capabilities beyond 500 benches, including support for new physical variants and virtual scenarios. 
  • Direct end-to-end platform delivery across bench registration, inventory, scheduling, job execution, boot, results, artifacts, APIs, and developer tooling; ensure reliable operation across multiple sites and environments. 
  • Establish clear KSIs and KPIs, measured and reviewed regularly, covering onboarding, automation throughput, availability, queue time, bench utilization, data capacity, cost per bench-hour, and support responsiveness—and use them to drive significant business impact, target millions in avoided manual-test costs, and expedited software delivery. 
  • Set the technical and operational bar for a high-throughput platform handling thousands of daily workflows and terabytes of evidence, with disciplined architecture, security, testing, observability, resilience, capacity planning, and production-readiness practices. 
  • Remove systemic blockers across network reachability, site readiness, identity, bench capacity, storage, data movement, and shared infrastructure; make timely tradeoffs across teams to keep delivery and operations moving. 
  • Recruit, coach, and retain engineers while building leadership depth, succession, and operating mechanisms that reduce reliance on individual heroics. 

Cross-functional expectations  

  • IT and shared infrastructure: Partner with IT infrastructure, cloud, identity, database, security, and platform-service owners to define requirements, sequence dependencies, resolve access/provisioning blockers, and establish supportable operating models. 
  • Networking: Work with Networking and site teams on routing, firewall, proxy, private reachability, disconnected-bench behavior, and multi-site connectivity.  
  • Peer engineering and platform teams: Align with teams on interfaces, shared capabilities, migrations, release readiness, and ownership boundaries. 
  • Test-program customers: Turn workload requirements into platform priorities, onboarding plans, measurable outcomes, and transparent tradeoffs. 
  • Leadership and program governance: Provide concise status, risk, KPI, capacity, and investment recommendations  to program leadership; ensure decisions, owners, sequencing, and escalation paths are clear. 

Your Skills and Abilities (Required Qualifications)  

  • 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 infra 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. 
  • Demonstrated ability to communicate technical risks and recommendations to engineering, program, and executive audiences. 
  • Demonstrated 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. 

What Will Give You A Competitive Edge (Preferred Qualifications)  

  • Experience with automotive software, SDV, ADAS, robotics, hardware-in-the-loop, or physical test infrastructure. 
  • Experience influencing architecture across application, networking, security, and physical-system boundaries. 
  • Experience building compute platforms, test farms, lab infrastructure, resource schedulers, or developer platforms. 
  • Experience with Go or comparable systems-programming language, REST/OpenAPI services, Postgres, Nomad or Kubernetes, Vault, Entra ID, GitHub Actions, and artifact repositories. 
  • Experience with bench inventory, device provisioning, host bootstrapping, hardware discovery, or physical-network integration. 
  • Experience establishing service-level objectives, platform KPIs, cost/capacity models, and customer-adoption measures. 
  • Experience leading multi-site or hybrid engineering teams and working with principal technical leaders. 
  • Experience migrating legacy or program-specific infrastructure into a standardized shared platform. 

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Esta função é classificada como híbrida. Isso significa que o candidato selecionado deverá trabalhar no escritório/fábrica da GM pelo menos 3 vezes por semana {ou outra frequência ditada por seu gerente}.

Benefícios de realocação estão disponíveis para candidatos que se qualificarem de acordo com a política da empresa.

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Adaptações (EUA e Canadá)

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