Senior Staff Software Engineer, AI Telemetry and Developer Intelligence

Google; San Jose (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC in San Jose, CA, seeks a Senior Staff Software Engineer for AI Telemetry and Developer Intelligence to lead ML system design, deployment, and observable telemetry at scale. You will architect data pipelines, trajectories, and privacy-preserving analytics that power developer tools and product insights.

Collaborating with Core and DevAI teams, you will design distributed architectures, mentor engineers, and translate complex ML challenges into reliable production systems with

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• Experience designing software architecture for applications, including AI/ML systems.

Responsibilities

• Architect telemetry schemas and AI instrumentation across developer surfaces.
• Design and build low-latency ingestion, data processing, PII redaction, and trajectory classification pipelines.
• Build core attribution engines linking multi-turn agent trajectories and tool calls to power autonomy and end-to-end journeys.
• Establish engineering standards across data and serving stacks to improve data freshness and reduce pipeline fragility.
• Partner withEngineering Directors, Principal Engineers, Data Scientists to unblock bottlenecks and mentor engineers.

Skills

Software development

ML design

Distributed systems

Leadership

Education

Bachelor’s degree or equivalent

Tools

C++

Java

Protocol Buffers

SQL data pipelines

Job description

Senior Staff Software Engineer, AI Telemetry and Developer Intelligence

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• Bachelor’s degree or equivalent practical experience.


• 8 years of experience in software development.


• 7 years of experience leading technical project strategy, ML design, and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).


• 5 years of experience with design and architecture; and testing/launching software products.


• 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.


• Experience designing software architecture for applications, including AI/ML systems.

Preferred qualifications:

• Experience designing and building distributed systems.


• Experience programming in C++, Java, Protocol Buffers, and SQL data pipelines.


• Experience designing and operating distributed data telemetry systems, streaming or batch ingestion pipelines, or observability infrastructure.


• Experience translating difficult technical challenges into production architectures with measurable reliability and adoption.


• Experience with AI or Large Language Model agent architectures, agent trajectory logging, and evaluation pipelines.


• Experience designing privacy-preserving analytics systems and high-performance analytical serving layers.

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.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

• Architect canonical, evolution-safe telemetry agreements and schemas building on integration event protos, trajectory schemas, and AI-assisted instrumentation across developer and DevAI surfaces so new agentic tools emit structured, high-signal telemetry by default.


• Design and build low-latency ingestion, deterministic sampling, Personally Identifiable Information (PII) redaction, and LLM-powered trajectory classification pipelines.


• Build core attribution engines linking multi-turn agent trajectories, tool calls, skill invocations, token spend, and downstream artifacts including Piper CLs, Critique reviews, Tracker issues, and test runs to power Levels of Autonomy and end-to-end Critical User Journeys.


• Establish engineering standards across the data and serving stack to eliminate pipeline fragility and enforce data freshness and completeness SLOs.


• Partner with Engineering Directors, Principal Engineers, Data Scientists, and sibling DevAI/CodeAI platform leads to unblock cross-organization instrumentation bottlenecks, review critical CLs and RFCs, and mentor engineers through example.

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.

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.