NVIDIA is looking for a Senior HPC Engineer to join its Professional Services team. Academic and commercial 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. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer.What you will be doing:Primary responsibilities will include deploying, managing, and maintaining 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 (Bright, XCat, etc.).Minimum of a four-year degree from an accredited university or college or equivalent experience in computer science, electrical engineering, or computer engineering (or equivalent experience).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 to prioritize/multi-task easily with limited supervision.Experience with Schedulers such as SLURM, LSF, UGE, etc.Ways to stand out from the crowd:Ethernet and Storage technologies.InfiniBand experience.Experience with GPU-focused hardware/software.Experience with MPI.Automation tooling background (Ansible, Salt, Puppet etc.).NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
