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Job Type
Full Time
Job Details
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.
- 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).
- 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.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more