Flexible infrastructure for everyone from AI startups and research labs to grad students.
June 3
🏢 In-office - San Francisco
Flexible infrastructure for everyone from AI startups and research labs to grad students.
• Work on optimizing performance for training large AI models • Help customers get access to ultra powerful machines • Make significant impact on scientific progress • Office located in Hayes Valley, San Francisco
• Proficiency in Pytorch, Tensorflow or JAX • Experience in profiling, debugging, and optimizing GPU utilization • Familiarity with distributed training techniques such as Data Parallel, Tensor Parallel & Pipeline Parallel
• Interesting problems to work on • Opportunity to optimize performance for training large AI models • Chance to work with customers in close proximity
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