NVIDIA
Senior HPC Storage Engineer - EDA Infrastructure
$184K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 11, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Experience
- 8+ years designing and/or operating large-scale storage infrastructure.
- Education
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field or equivalent experience.
About the job
Researches, designs, and implements scalable distributed storage solutions and tooling for HPC workloads across NVIDIA’s global computing infrastructure.
What you'll do
- Research, design, and implement distributed storage services, evaluating performance, cost, and storage architectures.
- Develop automation for infrastructure management, monitoring, alerting, and self-service resource consumption.
- Support researchers’ cluster workloads through performance analysis, optimization, and root-cause investigation.
What they ask for
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 8+ years of experience designing and/or operating large-scale storage infrastructure.
- Experience analyzing and tuning storage performance for varied workloads.
- Proficiency in Centos/RHEL and/or Ubuntu Linux, Python, and bash scripting; in-depth understanding of Docker or Enroot.
Nice to have
- Experience with parallel and distributed filesystems and Linux storage kernel development.
- Experience with NVIDIA GPUs, CUDA, NCCL, MLPerf, storage hardware, SDN, high-performance networking, PyTorch, or TensorFlow.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Centos/RHEL, Ubuntu, Python, bash, Docker, Enroot, Ceph, Weka.io
AI focus
Supports performance analysis and optimization of deep learning workloads. NVIDIA states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative