Senior Software Engineer, Generative AI, Google Research

Senior Software Engineer, Generative AI, Google ResearchGoogle'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.As a Software Engineer on the Performance Simulation team, you will design and develop simulation software and AI-driven platforms that model how AI workloads execute on applicant hardware architectures. Operating at the critical boundary between frontier ML models and future accelerator roadmaps, you will build and automate cycle-level and analytical performance estimators to project throughput, latency SLOs, and Perf/TCO across different silicon configurations.You will integrate LLM-driven agentic workflows to automate sweep generation, parameter exploration, data retrieval, and bottleneck diagnosis—accelerating hardware/software decisions.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists.

Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $ - $ (USD) + 15% bonus target + equity + benefits.Responsibilities:Design, build, and maintain scalable performance simulation frameworks to accurately evaluate training and serving metrics for next-generation TPU configurations.Model how future model architectures interact with architectural variables.Develop and integrate AI-agentic platforms and toolchains to automate simulator sweep setup, parameter sensitivity analyses, and data extraction over gigabytes of simulation sweeps.Build analytical and optimization engines to identify Pareto-optimal execution strategies.Formulate clear, data-grounded performance projections and comparative studies to inform multi-year TPU platform roadmaps and hardware contracts.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law.