NVIDIA · 3 hours ago
AI and ML HPC Cluster Engineer
US, TX, Austin
Full-time
Onsite
Entry, Mid Level
$120K/yr - $190K/yr
2+ years expNVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. The AI/ML HPC Cluster Engineer will support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization
Directly administer internal research clusters, conduct upgrades, incident response, and reliability improvements
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
Maintain heterogeneous AI/ML clusters on-premises and in the cloud
Support our researchers to run their workloads including performance analysis and optimizations
Analyze and optimize cluster efficiency, job fragmentation, and GPU waste to meet internal SLA targets
Support root cause analysis and suggest corrective action. Proactively find and fix issues before they occur
Triage and support postmortems for reliability incidents affecting users or infrastructure
Participate in a shared on-call rotation supported by strong automation, clear paths for responding to critical issues, and well-defined incident workflows
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience
Minimum 2 years of experience administering multi-node compute infrastructure
Background in managing AI/HPC job schedulers like Slurm, K8s, PBS, RTDA, BCM (formerly known as Bright), or LSF
Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
Proven understanding of cluster configuration management tools (Ansible, Puppet, Salt, etc.), container technologies (Docker, Singularity, Podman, Shifter, Charliecloud), Python programming, and bash scripting
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 AI/ML concepts, algorithms, models, and frameworks (PyTorch, Tensorflow)
Experience with InfiniBand with IBOP and RDMA
Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workloads
Applied knowledge in AI/HPC workflows that involve MPI
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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