Senior AI Compute Engineer

NVIDIA

Senior AI Compute Engineer deploying and managing HPC infrastructure in Linux environments. Collaborating with customers and internal teams on sophisticated AI Compute projects.

Posted 4/13/2026full-timeSanta Clara • California • 🇺🇸 United StatesSenior💰 $148,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

AnsibleKubernetesLinuxPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

Linux system administrationprocess managementpackage managementtask schedulingkernel managementboot proceduresperformance reportingnetwork routingscripting (Bash, Python, Ansible)cluster management

Soft Skills

interpersonal skillsproblem-solvingorganizational skillsprioritizationmulti-taskingcustomer supportknowledge transferdocumentationfeedback provisioncommunication

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Electrical EngineeringBachelor's degree in Computer Engineering