Staff Software Engineer

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 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.

Responsibilities:

• Be responsible for solving the cell resource optimization and cell densification which enables the growth needed for the AI/ML infrastructure.
• Provide technical leadership, guide and mentor other engineers, ensuring technical excellence across projects.
• Collaborate with stakeholders to define and implement long-term technical goals and address open-ended problem.
• Drive cross-functional collaboration and work with various stakeholders to ensure alignment and project success.
• Mentor junior engineers and share expertise to help develop future technical leaders.

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• Experience with cost and performance modeling for data center infrastructure, and ML hardware.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related field.
• 8 years of experience in designing, developing, and maintaining complex distributed systems.