Job description

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. In this role, you will work on a large-scale distributed system that is critical for the AI adoption for Google Cloud Platform (GCP). You will drive core infra pieces (Autocloud Simulation and Benchmark, Quality Self-improvement, Agentic Eval Workflow, GCP Quality Gate, Gemini Upstreaming, GCA Feature Store, etc.). Your work is a combination of infra, quality, AI. Gemini Cloud Assist is expanding rapidly as a very core foundation for GCP's AI initiative. You will have the opportunity to influence and work across Google Cloud, DeepMind, and the external AI ecosystem. 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Design, build, and scale large-scale distributed ML infrastructure and tooling, including the Simulation and Benchmark platform, to support Gemini post-training and accelerate GCP's AI adoption. • Lead the development of advanced AI quality components, such as agentic self-improvement, evaluation workflows, Gemini upstreaming, and automated quality gates for first-party skills. • Lead robust software design and automated testing practices, participate in on-call rotations, and continuously optimize test and production environments for reliability and performance. • Coach and mentor junior and mid-level engineers, enforce architectural best practices, and actively cultivate a high-performing team culture. • Bachelor’s degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • Experience integrating generative AI tools or LLM interfaces into workflows. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures/algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Design, build, and scale large-scale distributed ML infrastructure and tooling, including the Simulation and Benchmark platform, to support Gemini post-training and accelerate GCP's AI adoption.
Lead the development of advanced AI quality components, such as agentic self-improvement, evaluation workflows, Gemini upstreaming, and automated quality gates for first-party skills.
Lead robust software design and automated testing practices, participate in on-call rotations, and continuously optimize test and production environments for reliability and performance.
Coach and mentor junior and mid-level engineers, enforce architectural best practices, and actively cultivate a high-performing team culture.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience integrating generative AI tools or LLM interfaces into workflows.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience integrating generative AI tools or LLM interfaces into workflows.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

Application prep

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Keywords to mirror

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Platform: google
Effort: medium