Senior Software Engineer, AI/ML

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming

languages (e.g., C++, Go or Java).

• 3 years of experience with ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

• Experience designing, building, and maintaining infrastructure.
• Experience designing, developing, and deploying artificial intelligence (AI)

models or machine learning algorithms.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.
• Experience applying AI to solve software engineering problems, with a

background or strong interest in agentic software development (LLMs, code

generation, etc.).

• Experience in driving significant operational efficiencies (e.g., compute,

storage, latency) and structural software improvements (e.g., code quality,

testing speed) in production, brown-field systems.

• Experience designing, building, maintaining, optimizing, and debugging

large-scale, high-performance distributed production systems (e.g.,

replicated state machines, database systems, networking, or storage).

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.

This is an opportunity to participate in a fast-moving, high-impact AI-native

team, and play a part in defining how Google leverages AI to deliver

qualitatively different engineering outcomes compared to pre-AI ways of working.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Learn new technical domains by combining a deep knowledge of Google's

expansive software stack with AI-assisted research to quickly propose and

implement innovative technical solutions.

• Build scalable AI-powered solutions horizontally across Google while delving

deeply into external systems to proactively assist other teams with their

most complex challenges.

• Help the team strategically identify game-changing problem spaces, dynamic

pursuing and contributing proposals for opportunities that maximize our

overall impact.

• Contribute to a collaborative, ambitious culture that confidently tackles the

impossible and constantly questions the strict technical boundaries.

• Guide junior engineers and lead focused strike teams by setting clear

technical direction, providing vital support to ensure both their rapid

professional growth and overall outcome success.