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.

Virtual Machines are the workhorses of Google Cloud, powering everything from global enterprises to groundbreaking AI/ML research. The GCE Instances API AI/ML team builds and manages the critical control plane services that handle the lifecycle of millions of these VMs, directly enabling the AI/ML revolution on Google Cloud Platform (GCP).

As a Software Engineer, you will address complex distributed systems challenges at a massive scale, working on the core services that allow customers to deploy, manage, and scale their AI/ML workloads efficiently and reliably. Your work will directly impact a set of customers at cloud technology, from startups to large enterprises.

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.

Responsibilities

• Design, develop, and operate the highly reliable, large-scale distributed systems forming the control plane for GCE Virtual Machines, with a focus on enabling seamless AI/ML workload execution.

• Drive the analysis, design, and implementation of solutions for orchestrating the lifecycle of millions of VMs, addressing the unique demands of AI/ML applications and specialized hardware (e.g., GPUs, TPUs).

• Enhance the automation, scalability, and resilience of the Instances API and associated services to deliver a zero operations cloud experience for our users.

• Collaborate with partner teams across Google Cloud to deliver solutions for complex customer use cases in the AI/ML space.

• Participate in the full software development lifecycle, from requirements gathering and design to testing, deployment, and maintenance.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in Java, C++, Python programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications

• 2 years of experience with data structures and algorithms.

• Experience in designing, building, and operating highly scalable, reliable, and distributed systems.

• Experience with API design and development (e.g., RESTful APIs).

• Experience with public cloud platforms and developing cloud-native applications or services.

• Proficiency in Java and its ecosystem for building backend services.