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Senior Hpc Engineer, Professional Services
Company | NVIDIA |
Address | Washington, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-09-07 |
Posted at | 9 months ago |
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.
- Be the domain expert with customers during planning calls through implementation.
- Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
- 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!
- Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.
- Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
- Good interpersonal skills with the ability to maintain and deliver resolutions for customer blocking issues as they arise.
- 5+ years providing in-depth support and deployment services, solving problems for hardware and software products.
- Experience with Schedulers such as SLURM, LSF, UGE, etc.
- Cluster management technologies (Bright, XCat, etc).
- Minimum of a four-year degree from an accredited university or college or equivalent experience in Computer Science, or Electrical or Computer Engineering (or equivalent experience).
- 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).
- Scripting proficiency(Bash, Ansible, etc).
- Experience with MPI.
- Experience with GPU focused hardware/software.
- InfiniBand experience.
- Ethernet and Storage technologies such as Lustre or GPFS.
- Automation tooling background (Ansible, Salt, Puppet etc.).
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