Google Cloud Machine Learning Engineer Jobs in Raleigh, NC

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA; Cambridge, MA, USA.
Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 4 years of experience designing, implementing, and optimizing enterprise-grade file and block storage architectures.
• 3 years of experience with software design and architecture.
• 3 years of experience with storage performance characterization, throughput benchmarking, or latency optimization using industry-standard tools.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 3 years of experience with NetApp ONTAP architecture, including configuring storage virtual machines and multi-tenant role-based access control.
• 2 years of experience designing high-throughput, low-latency storage architectures optimized for scaling AI/ML workloads or air-gapped systems.

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.
Google is bringing our cloud anywhere with Google Distributed Cloud (GDC) in your data center, at the edge, and in the cloud. Within this ecosystem, the Storage Everywhere team is building cutting-edge storage solutions to allow stateful applications to seamlessly run across all of these environments. The GDC File and Block Storage team is a critical pillar of the GDC air-gapped portfolio, delivering robust, high-performance, and secure file and block storage services. Our team is responsible for the full lifecycle of file and block storage within GDC, from hardware integration with partners to providing secure, multi-tenant storage for our customers.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Design, deliver, and architect core file, block, and advanced artificial intelligence and machine learning storage solutions within the highly secure GDC air-gapped ecosystem.
• Define, isolate, and optimize storage performance using key tools to meet strict input/output operations per second, throughput, and latency benchmarks (aligned with Google Cloud best practices) while implementing secure, multi-tenant virtual machine and role-based access control environments.
• Build and enhance observability, monitoring, alerting, and automated remediation capabilities to guarantee continuous, high-availability storage operations.
• Collaborate cross-functionally across organizations to ensure the overall GDC architecture scales effectively under growing demands.
• Mentor and grow team engineers while establishing robust software development processes, governance, and leveraging artificial intelligence tooling to accelerate developer velocity.

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