--- title: Senior Performance Co Design Engineer, Cloud TPU description: Google is hiring for the Senior Performance Co Design Engineer, Cloud TPU role in Sunnyvale, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/senior-performance-co-design-engineer-cloud-tpu-at-google-01a10f60-cd59-7633-92a4-ef76f8fd9d81 date: 2026-10-06T04:18:07Z og_description: Join Google as Senior Performance Co Design Engineer, Cloud TPU in Sunnyvale, CA. Pays $163K–$236K per year. og_image: https://www.foundrole.com/og/kplpjs.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) | | **Location** | Sunnyvale, CA | | **Salary** | $163K/yr - $236K/yr | | **Posted** | Oct 05, 2026 | ## Description In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The Tensor Processing Unit (TPU) Chip Architecture and Performance Codesign team is at the forefront of optimizing Google's custom AI silicon for next-generation machine learning models. As a Senior Performance Co-Design Engineer, you will focus on analyzing and optimizing the serving performance of emerging models and use cases on our custom hardware. You will also work closely with hardware architects to influence the evolution of Google’s custom ML accelerators. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/). - Conduct comprehensive serving performance studies on current and emerging first-party and third-party LLMs. - Develop and maintain advanced simulation, profiling, and modeling tools to identify bottlenecks, understand key characteristics, and project serving workload performance. - Partner with model researchers, software teams, and hardware teams to co-design architectural improvements tailored to Large Language Model (LLM) inference latency and throughput. - Drive data-backed decisions that influence the roadmap for future TPU and Cloud Silicon architectures. ### Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 8 years of experience in performance modeling/engineering, computer architecture, codesign, or systems engineering. - Experience programming in C++ or Python. ### Preferred qualifications: - Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. - Experience with hardware/software co-design problems, especially performance analysis and identification at the pre-silicon stage. - Experience enabling and optimizing ML models (e.g., LLMs, large embedding models). - Experience with ML infrastructure, profiling tools, or deep learning inference/serving optimizations. - Familiarity with accelerator architectures. - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 8 years of experience in performance modeling/engineering, computer architecture, codesign, or systems engineering. - Experience programming in C++ or Python. ## Skills - Performance Modeling - Cloud Computing - Influencing - Computer Architecture - Deep Learning - Performance Analysis - Systems Engineering - Python - Co-Design - Tensor Processing Unit (Tpu) - Pre-Silicon Validation - C++ - Simulations - Large Language Models (Llm) - Computer Engineering - Performance Profiling - Computer Science - Product Roadmaps - Embedding Models (Nlp/ml) - Electrical Engineering - Machine Learning ## Related - [More jobs at Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) - [Engineering jobs](https://www.foundrole.com/careers/engineering?utm_source=ai_markdown)- [Electrical Engineering jobs](https://www.foundrole.com/careers/engineering/electrical-engineering?utm_source=ai_markdown)- [Hardware Engineer jobs](https://www.foundrole.com/careers/engineering/electrical-engineering/hardware-engineer?utm_source=ai_markdown)- [Computer Architecture / Performance Engineer jobs](https://www.foundrole.com/careers/engineering/electrical-engineering/hardware-engineer/computer-architecture-performance-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 264806 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 14869 jobs - [Sunnyvale, CA](https://www.foundrole.com/locations/us/california/sunnyvale?utm_source=ai_markdown) — 5371 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3817 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 264806 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 14869 jobs - [Sunnyvale, CA](https://www.foundrole.com/locations/us/california/sunnyvale?utm_source=ai_markdown) — 5371 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3817 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)