Senior Software Engineer, Google Distributed Cloud AI

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google is hiring software engineers to advance AI at scale, delivering LLM inference serving within the Google Distributed Cloud (GDC) Platform. You will work on critical components, from model lifecycle to efficient data loading and dynamic routing, enabling AI across hybrid cloud environments.

You will collaborate with teams across core platform services, tackle complex systems challenges, and contribute to a scalable serving infrastructure that supports innovative AI workloads.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience programming in Go for software development, including AI/ML applications.

Responsibilities

• Lead the technical design, development, and optimization of software components critical for Large Language Model (LLM) inference serving on GDC. This includes model life-cycle management, efficient data loading, dynamic request routing, and intelligent load balancing.
• Drive horizontal integration across core platform services, including billing, logging, observability, security, and quota management.
• Implement and enhance serving capabilities to support advanced LLM techniques like disaggregated serving, speculative decoding, quantization, and efficient model sharding across distributed hardware.
• Collaborate closely with internal teams developing core LLM frameworks, container orchestration (Kubernetes, Google Kubernetes Engine (GKE)), networking infrastructure, and hardware acceleration to build a cohesive and high-performance serving platform.

Skills

Go programming

AI/ML applications

Distributed systems

Large-scale infrastructure

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Tools

Kubernetes (K8s)

Google Kubernetes Engine (GKE)

Cloud AI platforms

Job description

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

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience programming in Go for software development, including AI/ML applications.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with container orchestration (e.g., Kubernetes) and cloud-based AI platforms.

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.
Join our pioneering team dedicated to democratizing access to Google's AI solutions by integrating and developing them deeply within the Google Distributed Cloud (GDC) Platform. We are passionate about enabling customers to harness the power of AI, no matter their environment. Our work spans the full range of GDC offerings:
If you are excited about shaping the future of AI on the edge and in hybrid clouds, and addressing unique challenges across various deployment models, we want to hear from you!
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .

• Lead the technical design, development, and optimization of software components critical for Large Language Model (LLM) inference serving on GDC. This includes areas such as model life-cycle management, efficient data loading, dynamic request routing, and intelligent load balancing.
• Drive horizontal integration across core platform services, including billing, logging, observability, security, and quota management.
• Implement and enhance serving capabilities to support advanced LLM techniques like disaggregated serving, speculative decoding, quantization, and efficient model sharding across distributed hardware.
• Collaborate closely with internal teams developing core LLM frameworks, container orchestration (Kubernetes, Google Kubernetes Engine (GKE)), networking infrastructure, and hardware acceleration to build a cohesive and high-performance serving platform.

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 .