Software Engineer III, AI/ML, Enterprise Engineering, Core

Socket.dev; San Jose (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking software engineers to design and implement scalable AI solutions for enterprise functions, leveraging core AI building blocks. You will collaborate with ML engineers and leads to develop reusable enterprise AI primitives and drive innovation in AI-enabled features that transform Google's business functions.

As part of the Core team, you will help define product roadmaps, work across units, and lead by example while addressing complex distributed systems at massive scale.

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 2 years of programming experience in Python or C++.
• 1 year of experience with applied machine learning.
• Experience architecting and developing distributed systems.

Responsibilities

• Design and implement scalable AI solutions for Google's enterprise functions leveraging our enterprise AI best practices and foundational building blocks.
• Collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
• Drive innovation in AI and agentic solutions that help transform Google's business functions.
• Be a strong partner with PM/UX in defining product roadmap and new feature scope.
• Be direct and lead by example.

Skills

Python

C++

Distributed systems

Applied machine learning

Education

Bachelor’s degree or equivalent practical experience

Job description

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with applied machine learning.
• Experience architecting and developing distributed systems.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience with core GenAI concepts (e.g., LLM, multi-modal, large vision models).
• Experience in concurrency, multithreading, and synchronization.
• Experience developing accessible technologies.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• Design and implement scalable AI solutions for Google's enterprise functions leveraging our enterprise AI best practices and foundational building blocks.
• Collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
• Drive innovation in AI and agentic solutions that help transform Google's business functions.
• Be a strong partner with PM/UX in defining product roadmap and new feature scope.
• Be direct and lead by example.