Job Summary
This position is centered on overseeing the reliability, automation, and ongoing enhancement of GPU interconnect and network fabrics across a large-scale AI infrastructure. The successful candidate will play a critical role in maintaining and optimizing system performance and reliability.
Responsibilities
- Diagnose and resolve performance challenges within the GPU interconnect and network fabrics.
- Manage and execute firmware upgrades to ensure optimal system functionality.
- Lead recovery efforts during significant network fabric incidents to restore service swiftly.
- Drive continuous improvements in the automation processes related to infrastructure.
Qualifications
- Minimum of 8 years of experience in high-performance networking and systems engineering.
- Expertise in GPU interconnect fabrics is essential.
- Strong skills in infrastructure automation and proficiency in scripting languages such as Python or Go.
- Experience working with DPU-based host networking technologies.
