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Cloud Platforms and Infrastructure Engineer, TPU/GPU

Job

Google

San Francisco, CA (In Person)

$187,500 Salary, Full-Time

Posted 2 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/3/2026

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Job Description

Cloud Platforms and Infrastructure Engineer, TPU/GPU corporate_fare Google place San Francisco, CA, USA ; Sunnyvale, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline X Applicants in
San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note:
By applying to this position you will have an opportunity to your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA .
Minimum qualifications:
Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. 3 years of experience in project management and technical solution delivery. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. Experience working with Cloud Providers such as Google Cloud Platform (GCP). Ability to travel 30% of the time, as needed, for client engagements.
Preferred qualifications:
Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. About the job The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. Design and implement cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives in collaboration with customers. Work with internal Specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.