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Senior Engineering Manager - Adaptive Bench Compute

General Motors
Seattle, USA
Full-time
Senior · 7+ years experience
Discovered 2 days ago

Full Job Posting

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.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
  • Experience with cloud infrastructure, CI/CD, identity and access management, secrets, databases, and observability.
  • Experience with automotive software, SDV, ADAS, robotics, hardware-in-the-loop, or physical test infrastructure.
  • 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.

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