Distributed ML Systems Architect
3 weeks ago
Distributed ML Systems Architecture
We are seeking a Distributed ML Systems Architect to develop customized features, SW benchmarks, performance tuners, and SW stacks around PyTorch to improve the full-stack distributed ML reliability and performance.
Responsibilities
This role involves developing and owning the software stack around collective communication libraries, collaborating with other groups, interacting with external partners, guiding team members, and communicating cross-functionally.
Qualifications
To be successful in this role, you should have a BS or MS in Computer Science or a related technical discipline, 2+ years of experience managing a networking-related software engineering team, and working knowledge of network transport stacks such as RoCE (RDMA).
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