Hewlett Packard Enterprise
This role involves designing and implementing GPU-aware networking paths for high-bandwidth, low-latency intra-node communication within HPE's High Performance Computing and AI division. The position focuses on optimizing GPU-to-NIC data movement, integrating with GPU ecosystems like NVIDIA CUDA and AMD ROCm, and enhancing communication stacks such as Libfabric and UCX. The engineer will lead upstream contributions to open-source projects and drive multi-NIC and NUMA performance optimizations for scale-up workflows.
Headquarters
The Woodlands, Texas, United States
Company Size
10001+ employees
Founded
1939
Discover HPE edge-to-cloud, enterprise compute IT, data, and security solutions. Learn how HPE empowers digital transformation through AI and sustainability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Hewlett Packard Enterprise.
Hewlett Packard Enterprise didn’t post a salary, so this is our estimate from similar listings.
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