Senior HPC Engineer - Infrastructure Specialist Team

NVIDIA is looking for a Senior HPC Engineer to join its Professional Services team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI/HPC projects. These efforts include a combination of networking, system design and automation and validation. 

What you will be doing: 

• Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in linux-based environments for new and existing customers. 

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

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

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

What we need to see: 

• 5+ 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, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). 

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

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

• Scripting proficiency (Bash, Python, Ansible, etc.). 

• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. 

• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. 

• Experience with schedulers 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 with GPU (Graphics Processing Unit) focused hardware/software. 

• Experience with MPI (Message Passing Interface). 

• Storage technologies such as Lustre or GPFS. 

• Familiarity with