Staff Software Engineer, Network Health

Google; United States; On-site; USD 207,000 - 300,000; Full time

Job summary

Google seeks a Staff Software Engineer, Network Health, in Sunnyvale, CA, to lead the long-term automation of AI/ML infrastructure and to design agentic diagnostic systems using Generative AI for next-gen networks. You will collaborate with platform teams to integrate hardware platforms and improve safety and observability.

The role requires deep experience in software, ML design, and a track record of leading complex infrastructure projects across partner teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Define the long-term goal for repair automation of AI/ML infrastructure.
• Lead and participate in the design of agentic diagnostic systems using Generative AI to automate diagnoses for next-gen networks.
• Collaborate with platform teams to integrate new hardware platforms into the automation ecosystem.
• Lead critical safety initiatives, such as automated anomaly detection.
• Mentor junior and executive engineers and influence engineering practices across the organization.

Skills

Bachelor's degree or equivalent

8 years software development

5 years testing/launching software

3 years design/architecture

5 years ML design/infrastructure

Experience integrating Generative AI /

5 years ML infra / model deployment

Education

Master's degree or PhD in Engineering, CS, or related

Tools

SQL Pipelines

Generative AI tools / LLM interfaces

Job description

Staff Software Engineer, Network Health

Location: Sunnyvale, CA, USA

Experience Level: Advanced

Information: 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 in software development.
• 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

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.
• Experience with any of the following: SQL Pipelines, Plx Scripts, Generative AI Agents.
• Track record of leading complex infrastructure projects.
• Ability to influence technical direction across partner teams (repair infrastructure, network, machines, all coexist together), and improve engineering practices.

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.

Platforms

Infrastructure Engineering operates within the Google Cloud umbrella. We provide the AI/ML infrastructure on which Google runs - both internally and externally.

Large-scale ML training requires a huge infrastructure footprint, all of which is connected by an equally large and dense networking infrastructure. Join us to directly enable this next generation of Google's AI infrastructure. Our mission is finding innovative ways to increase availability, reduce risk to production traffic, and more efficiently operate the network that enables large-scale training and serving.

As the lead for this team, you will set the long-term technical roadmap to improve safety, increase observability, and improve automated remediation, ensuring that nearly all of Google's customers run with maximum availability possible.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Define the long-term goal for repair automation of AI/ML infrastructure, focusing on achieving goals through multiple parallel programs.
• Lead and participate in the design of agentic diagnostic systems that utilize Generative AI to automate diagnoses for next-gen networks.
• Work with platform teams to integrate new hardware platforms into the automation ecosystem, driving the qualification and repair workflows required for global fleet turn-up.
• Lead critical safety initiatives, such as automated anomaly detection, to protect fleet health and capacity.
• Mentor a team of junior and executive engineers and influence engineering practices across the broader infrastructure organization to drive consistency in automation and safety standards.

Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations

• Location: Sunnyvale, CA, USA
• Experience Level: Advanced