GPU Compiler Engineer

3 weeks ago


Sunnyvale TX, United States Google Full time

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 or PhD in Computer Science or a related technical field.Experience debugging and programming concurrent/parallel computations.Experience with Machine Learning (ML) and High Performance Computing (HPC).Experience with Machine Learning accelerators.Experience with compiler engineering.Understanding of GPU architecture and Nvidia software stack (NCCL, CUDA). 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 is responsible for the software stack enabling multi-device and multi-host scaling and maximizing accelerator compute utilization. The team continues to develop and introduce scaling optimizations for data, model, and pipeline parallelism. We work with internal research and production groups and large machine learning (ML) cloud customers and help them scale their ML workloads to an unprecedented scale connecting compute across pods, data centers, and regions.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 Contribute to horizontal scaling features and optimizations of the compiler on GPU backend, crucial for ever larger Machine Learning (ML) models.Assist large Google Cloud Platform clients on their large model development journey on a massive scale.Assist internal large model researchers and developers working on GPU by unblocking and speeding up their workloads.Develop horizontal scaling compiler tools and infra necessary for large-scale training reliability and sustainable compiler development velocity.Collaborate with open source contributors to the horizontal scaling capabilities of the compiler on GPU.


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