NVIDIA · 22 hours ago
Senior AI and ML HPC Cluster Engineer
Santa Clara, CA
Full-time
Onsite
Senior Level
$136K/yr - $264K/yr
5+ years expNVIDIA is a leading technology company known for its innovations in GPU technology and AI. As a Senior AI and ML HPC Cluster Engineer, you will lead the design and implementation of GPU compute clusters for deep learning and high-performance computing, while also providing strategic guidance on large-scale HPC systems management.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud
Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving user needs
Support our researchers to run their workloads including performance analysis and optimizations
Conduct root cause analysis and suggest corrective action Proactively find and fix issues before they occur
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience
Minimum 5+ years of experience designing and operating large scale compute infrastructure
Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF
Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
Solid understanding of cluster configuration managements tools such as Ansible, Puppet, Salt
In depth understating of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud
Proficiency in Python programming and bash scripting
Applied experience with AI/HPC workflows that use MPI
Experience analyzing and tuning performance for a variety of AI/HPC workloads
Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields
Preferred
Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
Experience with Machine Learning and Deep Learning concepts, algorithms and models
Familiarity with InfiniBand with IPoIB and RDMA
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
Familiarity with deep learning frameworks like PyTorch and TensorFlow
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
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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
Recent News
2026-01-08
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