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Staff TPU Co-Design and Performance Software Engineer
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Staff TPU Co-Design and Performance Software Engineer
Full time
London, UK
On-site
Job Description
Minimum Qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.
Preferred Qualifications:
- Experience with ML based performance work.
- Knowledge or experience with LLM.
- Knowledge of performance analysis.
- Knowledge of computer architecture, TPU, or other accelerators.
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.
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With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
With the increasing complexity of ML model and ML accelerator architectures, there is a growing demand for comprehensive performance/TCO analysis and hardware/software co-design that can enable the peak performance of future ML systems.
In this role, you will be closely collaborating with TPU hardware designers, compiler team, and Google-Deepmind ML researchers, to drive ML system hardware/software co-design and optimizations.
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.
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Responsibilities
- Explore and define future ML accelerator system and chip architecture with objective and data-driven ground truth.
- Build and maintain system simulation infrastructure to enable system ground-truth understanding for hardware/software co-design and optimization.
- Establish understanding on latest business-critical production ML models (large-language models, large embedding models, etc.) to inform optimizations of model architecture, software system, and hardware architecture.
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