Software Engineer III, Performance

Google Inc.; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company in Greater London is seeking a Software Engineer to develop advanced technologies with a focus on machine learning. The ideal candidate has a Bachelor's degree and experience in software development, data analysis, and performance modeling. Key responsibilities include writing code for the TPU compiler and conducting performance analysis. This role offers opportunities to work on critical projects and contribute to innovative solutions that impact millions of users.

Qualifications

• 2 years of experience with software development in one or more programming languages.
• 2 years of experience with computer architecture and performance analysis.
• Experience with data structures and algorithms.

Responsibilities

• Write product or system development code for the TPU compiler in C++.
• Perform design reviews with peers and stakeholders.
• Conduct static and runtime performance analysis for large-scale models.

Skills

Software development

Data analysis

Performance modeling

C++ programming

Machine learning models

Education

Bachelor’s degree or equivalent

Master's degree or PhD in Computer Science or related fields

Job description

• 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 computer architecture, performance analysis, and performance modeling.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience in compilers, parallel algorithms, parallel computing.
• Experience with formal methods, performance analysis, advanced algorithms.

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 manage information at a 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.

In this role, you will work with Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g., Google DeepMind) and external customers. You will contribute to be a vital part of the Google Gemini software infrastructure. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s 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

• Write product or system development code for the Tensor Processing Unit (TPU) compiler (in C++).
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Contribute to a compiler which scales‑out machine learning models across accelerators like TPU/Graphics Processing Unit (GPU) at Google and Cloud.
• Conduct static and runtime performance analysis of important large‑scale production models.
• Design and implement performance optimizations and critical features, which increase the velocity of important production teams.

Google is proud to be an equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity irrespective of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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