AI Compute Systems Engineer – HPC & Linux Infra

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 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.