Google
Software Engineer, ML System Co-Design and Optimization
Google, Raleigh, North Carolina, United States, 27601
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Raleigh, NC, USA; Durham, NC, USA .Minimum qualifications:
Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.2 years of experience with data structures or algorithms.2 years of experience with performance, systems data analysis, visualization tools, or debugging.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.Experience with ML Accelerators (e.g. having worked for another company who built ML chips).Experience with simulators, especially hardware simulators.Hardware experience (e.g., how chips are built, RTL/VHDL/Verilog, interfaces (e.g., PCIe, Ethernet)).Experience with performance analysis and debugging, improving performance of distributed systems.Experience with compiler flows and software involved in translating a high-level language (e.g. TensorFlow) to hardware instructions.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.Machine Learning (ML) Hardware/Software Co-Design's mission is to find out what Google needs to build to meet tomorrow's AI goals. You will participate in the performance analysis of ML workloads (e.g. Gemini) on future TPU systems, evaluate performance/cost trade-offs of hardware features and software optimization techniques, and drive the next generation TPU chip and system architecture.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.The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.Responsibilities
Work together with teams across the full ML hardware/software stack, ML models, compilers, ML systems, TPU accelerators, to develop a thorough understanding of the performance/cost trade-offs within a vast ML system design space.Help develop the TPU/GPU performance methodology, enabling unified performance/TCO projection of future ML systems across Google (e.g., C++ and Python development).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.
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Raleigh, NC, USA; Durham, NC, USA .Minimum qualifications:
Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.2 years of experience with data structures or algorithms.2 years of experience with performance, systems data analysis, visualization tools, or debugging.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.Experience with ML Accelerators (e.g. having worked for another company who built ML chips).Experience with simulators, especially hardware simulators.Hardware experience (e.g., how chips are built, RTL/VHDL/Verilog, interfaces (e.g., PCIe, Ethernet)).Experience with performance analysis and debugging, improving performance of distributed systems.Experience with compiler flows and software involved in translating a high-level language (e.g. TensorFlow) to hardware instructions.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.Machine Learning (ML) Hardware/Software Co-Design's mission is to find out what Google needs to build to meet tomorrow's AI goals. You will participate in the performance analysis of ML workloads (e.g. Gemini) on future TPU systems, evaluate performance/cost trade-offs of hardware features and software optimization techniques, and drive the next generation TPU chip and system architecture.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.The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.Responsibilities
Work together with teams across the full ML hardware/software stack, ML models, compilers, ML systems, TPU accelerators, to develop a thorough understanding of the performance/cost trade-offs within a vast ML system design space.Help develop the TPU/GPU performance methodology, enabling unified performance/TCO projection of future ML systems across Google (e.g., C++ and Python development).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.
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