Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience programming in C++.
• Experience with storage, software architecture, and testing.
• Experience in leadership.

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.
  
• Experience with machine learning, machine learning infrastructure, Python, and debugging.

8 years of experience programming in C++.8 years of experience programming in C++.8 years of experience programming in C++.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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 Cloud Storage’s mission is to provide a trusted storage system, with reliability, efficiency, performance, and simplicity.

The Storage AI/ML Solutions team leverages domain knowledge to optimize Cloud Storage for AI/ML workloads. The team supports customers to maximize GCP performance while assisting internal teams in positioning GCP Storage as the industry's leading solution. By engineering specialized AI client libraries and publishing credible benchmarks, the team provides best-in-class metrics for throughput, latency, and scalability. Additionally, we actively collaborate with the open-source community to bridge technical gaps and ensure seamless integration with GCP.

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 $207,000-$300,000 + 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.

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 benefits at Google

Responsibilities

• Provide technical leadership for a team in storage AI/ML solutions to design and develop products/projects (e.g., benchmarks for GCP storage systems, AI/ML client libraries, or tooling).
• Assist key customers in onboarding their AI/ML workloads onto GCP storage.
• Work with various teams across GCP, including core GCS, file solutions, GKE, Cloud ML Compute Services (CMCS), and networking to drive storage innovation for AI/ML.
• Build technical knowledge in object and file storage, AI/ML workloads, and the evolving AI/ML landscape.
• Influence the industry and building credibility for GCP storage.