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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will help build technical solutions from the ground up as part of the global Google Machine Learning Fleet Optimization team. You will be developing key capacity planning and optimization capabilities within the shifting landscape of AI and ML, at hyper-scale. You will work with multiple teams, including all major business units across Google, and our operational ML planning teams to optimally allocate our ML resources.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 on high-impact and high-visibility projects within the Cloud ML Capacity Planning Allocations and Optimization team.

• Drive numerous projects to support our operational planning teams.

• Cross-team collaboration with multiple stakeholders across all of Google.

• Architect, design, and guide the development of foundational infrastructure systems by creating technical system designs and owning the technical strategy.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development (e.g., Go, Java, C++).

• 5 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.

• 3 years of experience with software design and architecture.

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 on dynamic projects.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

• Experience with capacity planning, supply chain, or automation.