Staff Software Engineer, GPU Infrastructure, Operating Systems
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in Cloud Infrastructure Systems and Distributed Systems architecture, including deployment, scaling, reliability and performance optimization.
- Experience implementing security best practices for cloud environments, and working with Compliance frameworks.
Preferred qualifications:
- Experience with data center architecture and its impact on large-scale infrastructure deployments.
- Understanding of kubernetes for container orchestration, including cluster management and workload deployment.
- Understanding of core networking principles (e.g., TCP/IP, DNS, load balancing) and cloud-based storage solutions.
- Ability to manage the life-cycle of infrastructure components, from initial provisioning to secure decommissioning.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will apply your expertise in NVIDIA GPU architectures and Operating System internals to develop foundational software for the Google distributed cloud team. Your work will enable Google's Cloud's AI, ML and HPC workloads to run efficiently on NVIDIA GPUs across distributed, on-premises and edge environments. You will collaborate with hardware, kernel, kubernetes and AI/ML teams to integrate NVIDIA GPU technologies, ensuring optimal performance, scalability and stability.
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.
The US base salary range for this full-time position is $197,000-$291,000 + 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 share more about the specific salary range for your preferred location during the hiring process.
Responsibilities
- Integrate and optimize NVIDIA GPU software for Google Distributed Cloud's Kubernetes-native orchestration layer, including CRDs and operators.
- Develop linux kernel modules, device drivers and system software to enable secure GPU-OS interaction.
- Identify and resolve performance bottlenecks across the GPU stack, optimizing data transfer, memory and power efficiency.
- Build fault-tolerant Graphics Processing Unit (GPU) life-cycle management solutions for high availability and security best practices.
- Validate and support new NVIDIA GPU interfaces, ensuring compatibility and performance.
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