Senior Engineering Manager - Adaptive Bench Compute

설명

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.)

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

Relocation 지원 혜택은 회사 정책에 따라 자격이 되는 지원자에게 제공됩니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.