Software Engineer TPU Compiler PhD Early Careers

WeAreTechWomen; United Kingdom; On-site; GBP 65,000 - 80,000; Full time

Job summary

A leading tech company in the United Kingdom is seeking a Software Engineer to work on the TPU compiler and optimize machine learning models. Candidates should have strong backgrounds in data structures, artificial intelligence, and parallel computing, and preferably be pursuing or hold a PhD. As part of the fast-paced environment, you will write code in C++ and lead collaborations in design reviews. This role offers a chance to work on impactful technologies and contribute to cutting-edge solutions.

Qualifications

• Experience with coding in data structures, algorithms, and software design.
• Research experience in Artificial Intelligence, Distributed Systems, and related fields.
• Currently enrolled in or graduated from a PhD program.
• Experience working with parallel computing and compiler construction.

Responsibilities

• Write product or system development code for the TPU compiler in C++.
• Participate in design reviews with peers and stakeholders.
• Contribute to a compiler which scales machine learning models across accelerators.
• Design and implement performance optimizations for critical features.

Skills

Coding in data structures

Algorithms

Software design

Artificial Intelligence

Machine Learning

Debugging concurrent computations

Experience with GPUs

Education

PhD program

Tools

C++

Job description

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.

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.