Senior AI Compute Engineer

NVIDIA

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

Posted 10/1/2026full-timeRemote • California • United StatesSenior💰 $148,000 - $287,500 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 advanced networking. Proven ability to interact with customers and internal teams to deliver effective solutions and support for complex systems.

Highest-signal resume keywords

Linux System AdministrationScripting Proficiency (Bash, Python, Ansible)Cluster Management and ProvisioningExperience with AI Compute ProjectsInterpersonal Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux System AdministrationScripting Proficiency (Bash, Python, Ansible)Cluster ManagementPerformance ReportingNetwork RoutingExperience with SLURM, LSF, UGEBenchmarking Tools (HPL, NCCL, MLPerf)InfiniBand ExperienceGPU Hardware/Software ExperienceMPI (Message Passing Interface)

Soft Skills

Excellent Interpersonal SkillsStrong Organizational SkillsAbility to PrioritizeMulti-tasking Ability

Tools & Technologies

KubernetesLustreGPFSBase Command Manager (BCM)

Certifications & Qualifications

Bachelor's Degree in Computer Science or Engineering

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 during planning calls through implementation
Perform handover-related documentation and knowledge transfers to support customers rolling out sophisticated systems
Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements
Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects involving networking, system design, automation, and validation

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
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

Benefits

Comp & perks

Equity
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