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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
- 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with computer architecture, performance analysis, and performance modeling.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with hardware-software algorithmic co-design and computer architecture analysis.
- Experience developing accessible technologies.
- Strong background in ML models and systems.
Responsibilities - Track the AI market, including the latest open-source models, frameworks, and research breakthroughs to identify SOTA algorithmic optimization opportunities.
- Identify and validate SOTA algorithmic optimizations (e.g., quantization, mxfp4) through white-glove projects for key internal customers.
- Drive end-to-end impact by transitioning validated algorithms and recipes to the Frontier Model Performance (manual optimization) and Automation teams, ensuring streamlined scaling.
- Collaborate on hardware/software co-design to guide future TPU architecture (e.g., nvfp4) and product capabilities.
- Develop custom kernels (Pallas) for new algorithmic efficiency techniques, and put them into production for 3P/OSS and 1P models.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
