Software Engineer, AI Infrastructure, Core

Google; Austin (TX); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a software engineer to design, build, and deploy production-grade code for advanced AI-enabled workflows. You will work on multi-agent orchestration, ever-evolving AI frameworks, and high-throughput model serving while ensuring safety and reliability across complex real-world scenarios.

The role emphasizes strong coding skills in Java, plus experience with GenAI or AI algorithms, machine learning infrastructure, and leadership in technical projects.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 1 year of experience with GenAI techniques or GenAI-related concepts.
• Experience in machine learning infrastructure.

Responsibilities

• Design, write, and deploy production-grade code for multi-agent workflows and orchestration engines.
• Deploy AI frameworks and tools to enable velocity in product development and scalability of agentic applications.
• Build robust, high-throughput model serving pipelines and real-time execution environments.
• Integrate automated testing, continuous evaluation, and observability frameworks to safeguard product quality.
• Adopt distributed tracing and telemetry into high-volume generative AI data pipelines.

Skills

Java

GenAI

Machine Learning Infra

Software Design

Software Testing

Education

Bachelor's degree or equivalent

Job description

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience in machine learning infrastructure.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• 1 year experience in machine learning, generative AI and AI algorithms.
• 1 year of experience in a technical leadership role.

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

Responsibilities

Learn more about benefits at Google .

• Design, write, and deploy production-grade code for multi-agent workflows, tool-use orchestration engines, and dynamic decision-making pipelines.
• Deploy AI frameworks and tools, to enable velocity in product development and scalability of agentic applications that require high-precision and safe execution under complex real-world conditions.
• Build robust, high-throughput model serving pipelines and real-time execution environments optimized for latency, reliability, and scale.
• Integrate continuous, data-driven feedback loops into AI development methodologies. Construct automated testing, continuous evaluation, and observability frameworks to assess agent coverage, monitor regressions, and safeguard product quality across end-to-end workflows.
• Adopt and integrate distributed tracing, data lineage architectures, and telemetry (e.g., OpenTelemetry) into high-volume generative AI data pipelines.

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 .