Senior Staff Software Engineer

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 with design and architecture; and testing/launching software products.

Preferred qualifications:

• Experience designing, implementing, and optimizing large-scale, highly available, and fault-tolerant geographically distributed systems.
• Experience driving long-term technical roadmaps and architectural goals across multiple functional engineering teams, converting highly ambiguous, multi-dimensional business requirements into concrete engineering execution pipelines.
• Experience coaching, mentoring, and developing technical talent, fostering a culture of engineering excellence, design reviews, and shared operational accountability.
• Proven track record of building and operating planetary-scale software infrastructure, with expertise in optimizing performance and reliability for algorithmic, graph-based, or highly data-intensive domains.
• Exceptional communication, negotiation, and mediation skills, with acting as a technical authority to align executives, peer Directors, and disparate engineering teams toward global optimizations rather than localized solutions.

About the job

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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.

The network is a critical enabler of Google's AI infrastructure. As an Engineering Manager, you will lead a team dedicated to delivering this infrastructure at unparalleled scale, velocity, and reliability. In this role, you will own the technical roadmap for key networking systems, assess architectural trade-offs, and mentor an engineering team.

You will be passionate about distributed systems and will build the ultra-fast network fabrics needed to power the next generation of AI.

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 the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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

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• Find and understand network delivery bottlenecks (end-to-end), prototype solutions to deliver step function velocity gains and land them in production.
• Provide technical leadership and influence direction for the team.
• Define quantifiable metrics for engineering success and ensure high standards for quality and operability across multiple connected teams.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.