AI Compute Engineer - NVIS

NVIDIA; Santa Clara (CA); On-site; USD 124,000 - 196,000; Full time

Job summary

NVIDIA is seeking an AI Compute Engineer to join the Infrastructure Specialists team. You will deploy, manage, and validate AI Compute/HPC infrastructure for diverse customers, acting as the domain expert from planning to implementation.

Responsibilities include knowledge transfers, documenting handovers, and providing feedback to internal teams. Travel up to 20% may be required as you work with customers globally.

Qualifications

• Four+ years of hands-on deployment and support for hardware/software.
• Linux system administration, kernel tuning, networking, and performance monitoring.
• Bare-metal cluster provisioning; BCM experience is a bonus.
• Bachelor's degree in CS/EE or equivalent experience.
• Scripting in Bash, Python, Ansible, etc.
• Strong interpersonal and customer-facing skills.
• Organizational skills with ability to multi-task.
• Experience with schedulers: SLURM/LSF/UGE.
• Willingness to travel up to 20% to customer sites.
• Experience with benchmarking tools and GPU-focused workloads.

Responsibilities

• Deploy, manage, and validate AI Compute/HPC infrastructure in Linux environments.
• Be the domain expert with customers from planning through implementation.
• Provide handover docs and knowledge transfers for rollout.
• Offer feedback to internal teams; report bugs and document workarounds.

Skills

Linux system administration

Bash scripting

Python scripting

Ansible

Interpersonal skills

Organizational skills

Scheduling experience

Travel readiness

Networking / HPC

Education

Bachelor's degree in Computer Science, Electrical or Computer Engineering

Tools

BCM (Base Command Manager)

SLURM

LSF

UGE

Kubernetes

MLPerf

NCCL tests

HPL

Job description

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! 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 platforms

NVIDIA 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 benefits.

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.