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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C .
- 5 years of experience testing and launching software products and working with stakeholders.
- 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: - Bachelor's or Master's degree in Computer Science, Engineering or related field.
- 10 years of experience in software development.
- 5 years of experience with full stack development, including backend distributed systems and experience in directly managing people.
- Experience in testing, and launching distributed systems, storage and related software products.
- Experience in programming languages like Golang and C .
- Ability to manage a small team of 3-4 engineers as direct reports. Ability to act as a technical lead/manager for a team, supporting both their technical growth and career development. Excellent stakeholder management and communication skills.
About the jobWe are looking for an experienced and passionate Staff Software Engineering to drive design, development, and operational excellence of network and machine modeling infrastructure.
In this role, you will require backend distributed systems expertise, excellent judgment, and strong stakeholder management skills. You will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align roadmaps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscapes. As a key aspect of this role, you will work effectively with geographically distributed teams.The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead, mentor, and develop a team of high-performing engineers who design and model the planet-scale networks powering Google's services and those of the Cloud customers.
- Define and drive the team's technical goals, strategy, and roadmap for modeling infrastructure, exercising strong technical judgment.
- Guide architectural and design decisions for scalable and reliable service deployments through active participation.
- Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a fluid, ambiguous environment.
- Cultivate strong relationships and collaborate effectively with key stakeholders and a varied set of user teams, while upholding high standards for system design, code quality, and operational excellence and advocating best practices for managing and communicating within a remote/hybrid team structure.
