Staff Software Engineer, Machine Modeling and Infrastructure Lead

About the role

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.

Responsibilities

• Lead the design, architecture, and development of scalable and robust infrastructure for modeling Google's next-generation server platforms.
• Work with other Team Leads (TLs) (L5-8), Product Managers (PMs), Cross-Functional (XFN) teams, and executives to identify missing modeling, security, rollout, and reliability related capabilities.
• Address ambiguous and complex technical challenges in representing and utilizing hardware models, from early NPI concept through to production.
• Drive the long-term technical vision and strategy for the UHM-M ecosystem, ensuring components are well-designed, maintainable, and meet evolving needs.
• Design and implement mechanisms to ensure the integrity, trustworthiness, and security of the model data life cycle, contributing to efforts like model notarization and verification as outlined in plans like go/uhm-m-tca-plan.

Requirements

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in testing, and launching software products.
• 5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with coding in C++.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role with leading project teams and setting technical direction.
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience in data modeling.

Benefits

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