NVIDIA
Senior HPC AI Cluster Engineer
$176K–$334K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Aug 20, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 8+ years
- Education
- A degree in Computer Science, Engineering, or a related field (or equivalent experience).
About the job
Designs, deploys, tunes, and supports large-scale HPC and AI clusters and the infrastructure, automation, and monitoring used to run them.
What you'll do
- Design, implement, and maintain HPC/AI clusters, including monitoring, logging, alerting, and server, network, and storage solutions.
- Manage workload scheduling and orchestration; build CI/CD pipelines and automation for infrastructure deployment and operations.
- Troubleshoot systems from bare metal through applications, document best practices, and support R&D and proof-of-concept work.
What they ask for
- Degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 8+ years of experience.
- Knowledge of HPC and AI technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
- Experience with workload scheduling and orchestration tools; Windows and Linux networking and internals; storage solutions; Python and bash; automation/configuration management; networking protocols; and virtual systems.
Nice to have
- Knowledge of CPU and/or GPU architecture; Kubernetes and container-related microservice technologies.
- Experience with GPU-focused hardware/software (DGX, Cuda) or RDMA fabrics (InfiniBand or RoCE).
Pay
176,000 USD - 276,000 USD (base salary, Level 4); 208,000 USD - 333,500 USD (base salary, Level 5)
Tools
Slurm, K8s, Linux, Windows, Lustre, GPFS, Weka.io, Python
AI focus
Build and support AI clusters and GPU computing platforms; enable large-scale AI compute runs and contribute to AI research workflows. NVIDIA states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative