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NEXTMOVEFDE careers · United States

Senior AI Compute Engineer - NVIS

AI summary of the role

NVIDIA seeks a Senior AI Compute Engineer to deploy, manage, and validate large-scale AI/HPC infrastructure for customers.

What you’ll do

  • Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
  • Serve as domain expert with customers during planning calls through implementation.
  • Create handover documentation and perform knowledge transfers to support customer rollout of sophisticated systems.
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.

What you’ll bring

  • 8+ years providing in-depth support and deployment services for hardware and software products.
  • Knowledge and experience with Linux system administration, advanced networking, and cluster management.
  • Scripting proficiency in Bash, Python, Ansible, etc.
  • Experience with schedulers such as SLURM, LSF, UGE.

Technologies

Linux · Bash · Python · Ansible · SLURM · LSF · UGE · Kubernetes · HPL · NCCL · MLPerf · InfiniBand

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Implementation & delivery · Evidence for this classification:

NVIDIA is looking for a Senior 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
More from the job description

NVIDIA is looking for a Senior 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: 8+ years providing in-depth support and deployment services; solving problems for hardware and sof [... source excerpt omitted ...] 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. [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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, nat

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