Software Engineer, TPU Compiler, PhD, Early Careers

On-site in London·Added 8 months ago

This job was published 8 months ago

Google

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Overview

Requirements

Work on-site in London
No relocation package mentioned.

Skills

Requirements

Minimum 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.

Preferred qualifications:

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.

The role

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.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.