Note: The job is a remote job and is open to candidates in USA. NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. This role involves deploying and managing AI Compute systems, interacting with customers, and providing support for large-scale AI Compute projects.
Responsibilities
- Primary responsibilities will include deploying, managing, and validating AI Compute/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
Skills
- 8+ 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 (bonus credit for BCM (Base Command Manager))
- 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 schedulers such as SLURM, LSF, UGE, 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 as well as Kubernetes experience
- 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 OEM GPU platforms
Benefits
- Equity
- Benefits
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