NVIDIA · 11 hours ago
Senior AI Compute Engineer - NVIS
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$124K/yr - $196K/yr
5+ years expNVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team, where they will work on deploying and managing AI Compute infrastructure for various customers. The role involves interacting with customers and internal teams to implement large-scale AI Compute projects, requiring strong interpersonal skills and technical expertise in Linux environments.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
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
Qualification
Required
5+ 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 30% of the time
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience
Preferred
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
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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