AI Compute Engineer - NVIS
About The Position
NVIDIA is looking for an AI Compute Engineer to join its Infrastructure Specialists 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 Compute systems in the world! We are 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 Compute projects. These efforts include a combination of networking, system design and automation and validation.
Requirements
- 4+ 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 and provisioning technologies for bare-metal servers.
- Minimum of a four-year degree from an accredited university or college in Computer Science, 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 cluster management tools such as SLURM, Kubernetes, LSF, etc.
- An ability to travel to customer sites within the United States up to 20% of the time.
- Experience with benchmarking tools such as HPL, NCCL tests, MLPerf.
Nice To Haves
- InfiniBand and/or high speed Ethernet and RoCE 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 OEM GPU platforms.
- BCM (Base Command Manager) for cluster management and provisioning.
Responsibilities
- Deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based customer environments.
- Acting as the domain expert with customers during planning calls through implementation.
- Creating handover-related documentation and performing knowledge transfers required to support customers.
- Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
