Software Engineer, Next Generation AI/ML Infrastructure

Minimum qualifications:

* Bachelor’s degree or equivalent practical experience.

* 2 years of experience with coding in C++, or 1 year of experience with an advanced degree.

* 1 year of experience with distributed processing.

* 1 year of experience with large-scale computing.

Preferred qualifications:

* Master's degree or PhD in Computer Science, or a related technical field.

* Experience building and scaling components of the Machine Learning life-cycle (e.g., feature stores, model serving systems, ML pipelines, training data generation).

* Experience developing, optimizing, and operating inference services or online serving systems at petascale.

* Experience with data processing internals or managing major systems like Flume, Beam, Spark, or Flink.

* Ability to drive projects from ideation to production deployment and long-term maintenance.

* Ability to collaborate effectively with researchers, applied scientists, and product teams to translate abstract requirements into production infrastructure.

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 US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

* Build FeatureML to streamline the user journey for Data Engineers and AI Practitioners, accelerating the creation, deployment, and management of features for production-scale ML models.

* Architect and build an available and elastic inference service designed to manage massive traffic demands.

* Develop a unified processing and storage platform, tailoring it specifically for DeepMind demanding data needs.

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 .