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Opportunities view more

    • Google Machine Learning Compiler Software Engineer

      02 Jul 2024

      Google Machine Learning Compiler Software Engineer, TPU Horizontal Scaling

      Minimum qualifications:

      • Bachelor's degree or equivalent practical experience.
      • Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Typically 2 years of experience with data structures or algorithms.
      • Typically 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

      Preferred qualifications:

      • Master's degree or PhD in Computer Science, or a related technical field.
      • Experience in Machine Learning and High Performance Computing (HPC).
      • Experience optimizing programs at distributed scale.
      • Experience in C++.
      • Experience in compilers.
      • Ability to debug and program concurrent/parallel computations.

      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.

      With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

      Our team develops the Accelerated Linear Algebra (XLA) TPU/GPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU/GPU accelerators for internal and external customers. The XLA Horizontal Scaling team’s software stack includes the XLA Single Program Multiple Data (SPMD) partitioner, collective and 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.
      • 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 such as Tensor Processing Unit (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.

      If you have any extenuating circumstances or require further information about this role, please contact EmployAbility on +44 (0)7776 090 508 or +44 (0)7852 764684, alternatively email us info@employ-ability.org.uk


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    • Google Software Engineer, Machine Learning Performance

      02 Jul 2024

      Google Software Engineer, Machine Learning Performance

      Minimum qualifications:

      • Bachelor's degree or equivalent practical experience.
      • Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
      • Typically 2 years of experience with data structures or algorithms.
      • Typically 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

      Preferred qualifications:

      • Master's degree or PhD in Computer Science or a related technical field.
      • Experience with performance analysis and optimization, including system architecture, performance modeling, or similar.
      • Experience with distributed development and large-scale data processing.
      • Experience with compiler optimizations or related fields.

      About the job

      Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

      In this role, you will focus on Large Language Models (LLMs) (e.g., Google Deepmind Gemini, Bard, Search Magi, Cloud LLM APIs, etc.) performance analysis and optimizations.

      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

      • Identify and maintain LLM training and serving benchmarks that represent Google production, industry and Machine Learning community, identify performance opportunities and drive TensorFlow/JAX TPU performance toward state-of-the-art, and to gate TF/JAX releases.
      • Engage with Google Product teams to solve their LLM performance problems. Onboard new LLM models and products on Google new TPU hardware, enabling LLMs to train efficiently on large-scale.
      • Analyze performance and efficiency metrics to identify bottlenecks, design, and implement solutions.
      • Work with tooling and fleet metrics subteams to build tools to track performance and efficiency and to extract metrics from Google running workloads.
      • Explore model/data efficiency techniques, new machine learning model architecture/optimizer/training technique to solve a machine learning task, new techniques to reduce the label/unlabeled machine learning data needed to train a model.

      If you have any extenuating circumstances or require further information about this role, please contact EmployAbility on +44 (0)7776 090 508 or +44 (0)7852 764684, alternatively email us info@employ-ability.org.uk


      apply now

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