Technical Lead: TPU Hardware/Software Co-Design & Inference

Google LLC; Sunnyvale (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google LLC in Sunnyvale, CA, is seeking a Technical Lead for Hardware/Software Codesign focused on TPU Inference. You will shape the hardware/software stack architecture, drive performance for large ML models, and align research, software, and hardware teams to scale innovations in TPU technology.

You will engage with ML research and production systems, contributing to sustainability and efficiency at scale, with compensation featuring a substantial salary, bonus target, equity, and

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 12 years of experience in computer architecture, chip architecture, or hardware-software co-design.
• Experience developing systems for performance modeling, simulation, or system analysis.

Responsibilities

• Define and drive the technical roadmap and architecture for the hardware/software stack, ensuring unparalleled performance for the training and serving of large ML models.
• Act as the technical liaison between advanced research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
• Architect and oversee the development of next-generation configurable simulation frameworks and cycle-accurate performance models, setting the standard for how the organization evaluates complex micro-architectural decisions.
• Advocate system-level performance analysis across highly distributed ML systems, innovating new methodologies to balance compute, memory bandwidth, and inter-chip network requirements.
• Manage cross-functional partnerships across hardware engineering, compiler development, and ML research to influence broad organizational strategy and transition paradigm-shifting concepts into production.

Job description

Google LLC in Sunnyvale, CA, is seeking a Technical Lead for Hardware/Software Codesign focused on TPU Inference. You will shape the hardware/software stack architecture, drive performance for large ML models, and align research, software, and hardware teams to scale innovations in TPU technology.

You will engage with ML research and production systems, contributing to sustainability and efficiency at scale, with compensation featuring a substantial salary, bonus target, equity, and