Data Center Hardware Specialist I, Google Cloud (Fixed-Term Contract)
About The Position
As a Hardware Specialist, you will lead the technical delivery of confidential, large-scale compute projects for strategic customers. You will serve as the primary technical liaison between global clients, internal engineering teams, and internal operations. Your role involves maintaining complex on-prem and cloud-based environments, ensuring seamless integration of high-performance accelerators with enterprise-grade networking and storage to support the next generation of mission-critical, data-intensive workloads. This is a 13 month Fixed-Term Contract (FTC) position. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- 3 years of experience in technical solution delivery and project management for enterprise infrastructure projects.
- 2 years of experience in technical architecture, systems administration, or infrastructure delivery in cloud or on-prem environments.
- Experience managing customer and executive-level relationships, and project stakeholders.
- Experience in hardware triage, diagnostics, and guiding repair workflows for server clusters and high-performance networks.
Nice To Haves
- Master's degree or PhD in Computer Science or Engineering.
- Experience with networking and system design of load balancers, firewalls, and VPN in architecting, developing and maintaining production-grade systems.
- Experience with end-to-end system architecture or accelerated computing hardware (e.g., Kubernetes, GKE, EKS, GPU workloads, or Linux-based distributed systems).
- Expertise in maintaining clusters of massive-scale model training using high-end hardware accelerators and AI/ML infrastructure frameworks such as JAX, PyTorch, or OpenXLA.
Responsibilities
- Maintain and oversee the end-to-end deployment of large-scale accelerated compute clusters, acting as the lead technical advisor for confidential, enterprise infrastructure initiatives.
- Work with customer technical leads, and client executives to manage and deliver successful implementations of technical solutions for high-density computing environments.
- Partner with internal specialists, Product, and Engineering teams to package technical playbooks, best practices, and reference architectures for high-performance computing, influencing the roadmap for next-generation hardware and software integration.
- Interact with Sales and partners to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel approximately 30% of the time for client engagements.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
