Software Engineer III, CPU Performance Modelling.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 2 years of experience with data structures and algorithms.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master's degree in Computer Science or a related technical field.
• 2 years of experience with software development in C++.

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.

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

• Drive end-to-end performance modeling and analysis for next-generation CPUs.
• Identify architectural bottlenecks, ensure system correctness, and implement rigorous optimization strategies across the hardware-software stack to maximize efficiency for large-scale compute workloads.
• Design, develop, and maintain advanced software modeling tools and simulation environments.
• Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
• Collaborate with hardware and software CPU architecture teams, SOC performance modeling team and other Google Software teams.

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