AI Compute Engineer - NVIS

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 124,000 - 196,000

Full time

14 days+

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Job summary

NVIDIA Corporation seeks an AI Compute Engineer to join the Infrastructure Specialists team in Santa Clara, CA. You will deploy, manage, and validate AI Compute/HPC infrastructure for customers, acting as the domain expert during planning and rollout.

You will hand over documentation, provide knowledge transfer, and communicate feedback to internal teams. Travel up to 20% and collaboration with partners are key aspects of the role.

Qualifications

  • 4+ years delivering deployment support for hardware and software.
  • Experience Linux system administration, packaging, scheduling, and kernel troubleshooting.
  • Experience with schedulers (SLURM/LSF/UGE) and clustering/bare-metal management.

Responsibilities

  • Deploy, manage, and validate AI Compute/HPC infrastructure for customers.
  • Be the domain expert during planning calls and handover documentation.
  • Provide feedback to engineering and document workarounds.
  • Travel to customer sites in the US up to 20%.

Skills

Linux admin
Bash scripting
Python scripting
Cluster management
Networking
Schedulers (SLURM/LSF/UGE)
Kubernetes
HPC benchmarking (HPL/NCCL)
Communication
Travel up to 20%

Education

Bachelor's degree in Computer Science or Electrical Engineering

Tools

Base Command Manager (BCM)
Kubernetes
HPC benchmarking tools

Job description

AI Compute Engineer - NVIS page is loaded## AI Compute Engineer - NVISlocations: US, CA, Santa Clara: US, Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2025216NVIDIA 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! 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 Compute 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 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.**What we need to see:*** 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 (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.**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 OEM GPU platformsNVIDIA 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!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.You will also be eligible for equity and .Applications for this job will be accepted at least until October 6, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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