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Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google

Software Engineering Senior

GoogleSunnyvale - On-Site

Posted 1w ago🏛️ On-SiteSeniorSoftware Engineering📍 Sunnyvale💰 $166,000 - $244,000 / yearly
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Overview

Google is hiring a Senior Software Engineer to develop a compiler for Tensor Processing Units designed to accelerate machine learning workloads. You'll work with CUDA C++ and TensorFlow to compile high-performance implementations. This position requires 5+ years of experience in software development.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 5 years of experience testing, maintaining, or launching software products. You possess at least 1 year of experience with software design and architecture, and 2 years of experience in CUDA C++ application development. Your background includes working with Native Code, Just-In-Time (JIT), and various types of compilers. You are familiar with machine learning algorithms and tools, such as TensorFlow, and have experience in artificial intelligence, deep learning, or natural language processing.

You hold a Master's degree or PhD in Computer Science or a related technical field, which is preferred. You have 2 years of experience with data structures and algorithms, and you are skilled in performance analysis, large-scale systems data analysis, and debugging. Your experience includes debugging correctness and performance issues at all levels of the stack, and you have integrated low-level CUDA work into higher-level frameworks like TensorFlow, JAX, or PyTorch. You understand hardware/software co-design and optimizations in mid-level and low-level architecture.

What you'll do

In this role, you will develop a compiler for a novel processor designed to accelerate machine learning workloads. You will compile high-performance implementations of operations at a distributed scale and work closely with users of TPUs to improve performance and efficiency. Collaborating with hardware designers, you will co-design future processors and investigate high-level representations to effectively program large-scale, distributed, and heterogeneous systems. Your contributions will directly impact how billions of users connect and interact with information.

What we offer

At Google, you will be part of a team that develops next-generation technologies that extend well beyond web search. You will have the opportunity to work in a collaborative environment that encourages innovation and creativity. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in shaping the future of technology and making a difference in the world.

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