Software Engineer III, TPU Compiler

Google Inc.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading tech company in the UK is seeking a Software Engineer to work on machine learning technologies. Responsibilities include writing code for the TPU compiler and leading design reviews. Required qualifications include a Bachelor's degree and experience in software development with C++. This role is vital to enhancing software solutions and will allow collaboration across various projects within the organization.

Qualifications

• 2 years of experience in software development with programming languages.
• 1 year with ML infrastructure experience, including model deployment.
• Experience optimizing distributed programs and knowledge of compilers.

Responsibilities

• Write code for the TPU compiler in C++.
• Participate in design reviews with peers.
• Contribute to scaling machine learning models.

Skills

C++

Machine Learning

High Performance Computing

Data Structures

Algorithms

Education

Bachelor’s degree or equivalent practical experience

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, or 1 year of experience with an advanced degree.
  
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience in C++.
• Experience with performance, systems data analysis, visualization tools, or debugging.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields and 5 years of experience with data structures/algorithms.
• 2 years of experience with data structures or algorithms.
• Experience in Machine Learning and High Performance Computing (HPC).
  
• Experience optimizing distributed programs at large-scale and experience with Compilers and Compiler construction.
• Excellent debugging and programming concurrent/parallel computations, and excellent working on accelerators including but not limited to VLIW and 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.

Our team develops the Accelerated Linear Algebra (XLA) Tensor Processing Units (TPU) parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal Google, Google DeepMind and external customers. The software stack includes the partitioner to share work across multiple TPUs, scheduling optimizations, and code generation.

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.
  
• 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 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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