Nvidia Senior HPC Engineer - Infrastructure Specialist Team 

United States, Texas 

719030400

c, cand governmentteam that requires excellent interpersonal skills. This role will be interacting with customers,and implement largescale AI/HPC projects.These efforts include a combination of networking, systemdesign and automationand validation.

What you will be doing:

• Primary responsibilities will include deploying,managing,andvalidatingAI/HPC infrastructure inlinux-based environments for new and existing customers.

• Be the domain expert with customers during planning calls through implementation.

• Handover-related documentation and perform knowledge transfersrequiredto support customers as they begin rolling out some of the most sophisticated systems in the world!

• Provide feedbackto

What we need to see:

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

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

• Cluster management technologies (bonus credit forBCM (Base Command Manager)).

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

• Scriptingproficiency(Bash,Python,Ansible, etc.).

• Excellentinterpersonal skillsandthe ability to deliver resolutions for customerissues as they arise.

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

• Experience withschedulers such as SLURM, LSF, UGE, etc.

• A willingness to travel to customer sites within the United States.

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

• Experience with benchmarking tools such as HPL, NCCL tests, MLPERF.

• Kubernetes experience.

Ways to stand out from crowd:

• InfiniBand experience.

• Experience withGPU (Graphics Processing Unit)focused hardware/software.

• Experience withMPI (Message Passing Interface).

• Storage technologies such asLustreor GPFS.

• Familiarity with Dell and Supermicro GPU platforms