> Markdown version of [/jobs/ext/2160318-data-center-hardware-specialist-ii-google-cloud-fixed-term-contract](https://www.wearedevelopers.com/jobs/ext/2160318-data-center-hardware-specialist-ii-google-cloud-fixed-term-contract). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Center Hardware Specialist II, Google Cloud (Fixed-Term Contract) - **Company:** Google LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $152,000.0 - $221,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Cloud Computing, Linux, Distributed Systems, Virtual Private Networks (VPN), Systems Architecture, Systems Integration, Google Cloud, Load Balancing, High Performance Computing, Pytorch, Firewalls (Computer Science), Computer Equipment, Kubernetes, Information Technology, Hardware Acceleration, Machine Learning Operations, Hardware Infrastructure - **Published:** August 21, 2026 - **Apply:** https://dejobs.org/x/x/5D0E3EAE5E6847B9A7081AFBBA18C94B/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. * 5 years of experience in technical solution delivery and project management for enterprise infrastructure projects. * 4 years of experience in technical architecture, systems administration, or infrastructure delivery in cloud or on-prem environments. * Experience managing customer relationships and project stakeholders, including executive-level communication and influence on technical and operational decisions. * Experience in hardware triage, diagnostics, and guiding repair workflows for server clusters and high-performance networks., * Master's degree or PhD in Computer Science or Engineering, or a related field. * Experience with end-to-end system architecture or accelerated computing hardware (e.g., Kubernetes, GKE, EKS, GPU workloads, or Linux-based distributed systems). * Experience with networking and system design of load balancers, firewalls, and VPN in architecting, developing and maintaining production-grade systems. * Experience in maintaining clusters of massive-scale model training using high-end hardware accelerators and AI/ML infrastructure frameworks such as JAX, PyTorch, or OpenXLA. ## Description As a Hardware Specialist, you will lead the technical delivery of confidential compute projects for customers. You will serve as the primary technical liaison between global clients, internal engineering teams, and internal operations. Your role involves maintaining 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., * Oversee the end-to-end deployment of accelerated compute clusters, serving as the lead technical advisor for confidential, enterprise infrastructure initiatives. * Collaborate 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. * Engage 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. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)