Staff Software Engineer, AI/ML, AI Data Platform

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in Sunnyvale, CA is seeking a Staff Software Engineer for AI/ML on the AI Data Platform. You will design, build, and scale critical cloud lakehouse services processing exabytes of data for enterprise security workloads.

The role requires deep expertise in distributed systems, AI platforms, and large-scale data processing, with opportunities to guide technical direction across teams. In-person interviews are typical.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience working with AI platforms or generative AI technologies (including generative AI agents).

Responsibilities

• Develop and optimize schema-on-read pipelines, inline streaming enrichment, and search indexing.
• Lead design and launch of cloud lakehouse solutions for enterprise customers.
• Improve architecture for scalable, modular data platforms and fast SQL analytics.
• Leverage SIEM, security data lakes, and large-scale data products to address customer needs.
• Manage priorities, communicate risks, and ensure timely delivery of projects.

Skills

Software development

AI platforms

Distributed systems

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Cloud platforms

Data processing frameworks

Job description

Staff Software Engineer, AI/ML, AI Data Platform

Share Staff Software Engineer, AI/ML, AI Data Platform

corporate_fare Google place Sunnyvale, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience working with AI platforms or generative AI technologies (including generative AI agents).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience building large-scale distributed systems processing data at scale.
• Experience working in the Enterprise Security space, specifically, building SIEM products.

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.

Google Security Operations is the fastest growing product in GCP and supports customers, partners, and government across the globe. With Google Security Operations, customers are able to discover and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, big data, and AI, we help our customers and partners understand and solve their most significant security issues as well as transform and modernize their security operations.
The Data Intelligence team is responsible for processing Exabytes of data at Planetary speed. This includes processing data in real time (streaming), semi-real time (batch processing jobs), and providing data intelligence such as enrichment to enterprise customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.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 .

• Develop an understanding of our schema-on-read pipelines, in-line streaming enrichment, and search indexing architectures. Design, lead, build, and launch critical cloud lakehouse solutions from the ground up, managing safe rollouts across our global customer base.
• Reimagine our data storage tiers, indexing mechanisms, and enrichment capabilities by partnering across engineering and product to enhance core BigQuery and open-table lakehouse services that process exabytes of security telemetry.
• Identify and implement architecture improvements that make our platform simpler, and horizontally scalable to unleash the full potential of customers’ data for fast SQL analytics, anomaly detection, and AI-driven security workloads.
• Leverage your expertise in SIEM, security data lakes, or large-scale distributed data products to address customer pain points, propose innovative architectures, and deliver high-impact projects while working closely with product and users to incorporate feedback.
• Manage project priorities for yourself and collaborative workstreams. Meet deadlines and deliverables with your technical expertise, proactively identifying risks and communicating schedule adjustments.
  

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.

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