AI Compute Engineer

NVIDIA

. Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers .

Posted 10/2/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $124,000 - $195,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and managing AI Compute and HPC infrastructure in Linux environments, with strong skills in scripting, cluster management, and customer interaction. Proficient in troubleshooting and optimizing performance for complex systems while providing exceptional support and documentation.

Highest-signal resume keywords

Linux System AdministrationScripting Proficiency in Bash, Python, AnsibleCluster Management and ProvisioningExperience with Schedulers such as SLURM, LSF, or UGEGPU-Focused Hardware/Software Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux System AdministrationScripting Proficiency in BashScripting Proficiency in PythonScripting Proficiency in AnsibleCluster ManagementPerformance ReportingNetwork RoutingExperience with MPIExperience with InfiniBandExperience with Storage Technologies

Soft Skills

Excellent Interpersonal SkillsStrong Organizational SkillsAbility to PrioritizeAbility to Multi-taskLimited Supervision

Tools & Technologies

KubernetesBCM (Base Command Manager)HPLNCCL TestsMLPerfLustreGPFSOEM GPU Platforms

Industry Keywords

AI ComputeHPC InfrastructureNetworkingSystem DesignAutomationValidation

Tech Stack

Tools & technologies

AnsibleKubernetesLinuxPython

About the role

Key responsibilities & impact

Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
Act as the domain expert with customers from planning calls through implementation
Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects
Work across networking, system design, automation, and validation
Prepare handover-related documentation and perform knowledge transfers as customers begin rolling out sophisticated systems
Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements

Requirements

What you’ll need

4+ years providing in-depth support and deployment services and 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, and network routing/advanced networking
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 in Bash, Python, Ansible, or similar
Excellent interpersonal skills and ability to deliver resolutions for customer issues
Strong organizational skills and ability to prioritize/multi-task with limited supervision
Experience with schedulers such as SLURM, LSF, or UGE
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, and MLPerf
Kubernetes experience
InfiniBand experience
Experience with GPU-focused hardware/software
Experience with MPI
Experience with storage technologies such as Lustre or GPFS
Familiarity with OEM GPU platforms

Benefits

Comp & perks

Equity
Benefits
Equal opportunity employer