At a Glance
- Tasks: Develop cutting-edge software for Google's TPU compiler and optimise machine learning models.
- Company: Join Google, a leader in technology innovation and digital transformation.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to switch projects and grow your career.
- Why this job: Make a real impact on technology that connects billions of users worldwide.
- Qualifications: PhD students or graduates with experience in AI, ML, and software design.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Google to hire for this 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 Deep Mind) 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.
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 Ph D 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.
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.
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Software Engineer, TPU Compiler, PhD, Early Careers in London employer: All The Top Bananas
At Google, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Software Engineer in the TPU Compiler team, you'll have access to cutting-edge technology and the opportunity to work on impactful projects that shape the future of machine learning. With a strong emphasis on employee growth, mentorship, and the chance to switch teams, Google provides a unique environment where your ideas can thrive and contribute to meaningful advancements in technology.
