Nvidia Senior HPC Solutions Architect AI 

Taiwan, Taiwan Province, Hsinchu 

39790515

What you will be doing:

• Primary responsibilities will include managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.

• Support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting

• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement.

• Maintain services once they are live by measuring and monitoring availability, latency and overall system health

• Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

• Be part of an on call rotation to support production systems

What we need to see:

• 8+ years providing in-depth support and deployment services, solving problems for hardware and software products.

• Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, bootprocedures/troubleshooting,performancereporting/optimization/logging,network-routing/advancednetworking (tuning and monitoring).

• HPC/AI Cluster management technologies EX: Bright Cluster Manager

• Minimum of a four-year degree from an accredited university or college or equivalent experience in Computer Science, or Electrical or Computer Engineering.

• Scripting proficiency(Bash, Ansible, etc).

• Good interpersonal skills with the ability to maintain and deliver resolutions for customer blocking issues as they arise.

• Strong organizational skills and ability toprioritize/multi-taskeasily with limited supervision.

• Experience with HPC/AI Schedulers, primarily Kubernetes, with consideration for Slurm, LSF, etc.

Way to stand out from crowd:

• InfiniBand experience.

• Experience with GPU focused hardware/software.

• Experience with MPI.

• Automation tooling background (Ansible, Salt, Puppet etc..

• Ethernet and Parallel Storage technologies