Software Engineer, TPU Compiler, PhD, Early Careers

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

Job summary

A global technology company in London seeks a Software Engineer for its TPU Compiler team. The ideal candidate will be involved in writing C++ code, optimizing algorithms, and applying AI to compiler development. A PhD in a related field is required along with experience in parallel computing and software design. Join us to work on cutting-edge technologies that will shape the future of computing and AI.

Qualifications

• Currently enrolled in or graduated from a PhD program in computer science or similar.
• Experience with compilers and compiler construction along with AI.
• Excellent debugging skills and experience with parallel computations.

Responsibilities

• Write system development code for the TPU compiler in C++.
• Design and implement performance optimizations for production teams.
• Apply AI in Compiler development.

Skills

Coding in data structures

Algorithms

Software design

Research in AI

Distributed Systems

Machine Learning

Data Mining

Parallel computing

Compilers and compiler construction

Education

PhD program

Job description

Software Engineer, TPU Compiler, PhD, Early Careers

London, UK

Experience level

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Responsibilities

• Write product or system development code for the 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/GPUs at Google and Cloud.
• Design and implement performance optimizations and critical features, which increase the velocity of important production teams.
• Apply AI to the development of the Compiler and to the Compiler itself.

Qualifications

• Experience with coding in data structures, algorithms and software design.
• Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
• Work or educational experience in Machine Learning or Artificial Intelligence.
• Currently enrolled in or graduated from a PhD program.
• Experience working with parallel computing.
• Experience with compilers and compiler construction.
• Excellent debugging and programming concurrent/parallel computations, and working on accelerators such as VLIW, Vector machines, GPUs, or DSPs.

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.

TPU team develops the 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. It is 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 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.

Responsibilities

• Write product or system development code for the 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.
• Design and implement performance optimizations and critical features, which increase the velocity of important production teams.
• Apply AI to the development of the Compiler and to the Compiler itself.

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 regardless 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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