# Senior HPC Storage Engineer - EDA Infrastructure

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/4c5ce73b-3f28-4f24-a596-f06aa0d4992f

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 184000 – 287500 USD per year

## Summary

This role leads the design and implementation of next-generation distributed storage infrastructure for NVIDIA's high-performance computing and AI workloads, requiring deep expertise in storage systems, Linux, and cloud-scale operations. It suits engineers with 8+ years building and optimizing large-scale storage solutions who want to influence the infrastructure powering GPU-accelerated computing at a major technology company.

_Our summary, not NVIDIA's wording._

## Skills named

Bash (Scripting), CUDA, Docker, Python, PyTorch, Software-Defined Networking, TensorFlow

## Required

- Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 8+ years designing and/or operating large-scale storage infrastructure
- Experience analyzing and tuning storage performance for various workloads
- Proficiency in CentOS/RHEL and/or Ubuntu Linux
- Python programming and bash scripting skills
- Understanding of container technologies like Docker and Enroot

## Nice to have

- Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS)
- Linux storage kernel development experience
- Proficiency with NVIDIA GPUs, CUDA programming, and NCCL
- Performance benchmarking via MLPerf
- Deep familiarity with storage hardware (HDDs, SSDs, NVMe) and enclosures
- Network Appliance or similar specialized appliances
- Software Defined Networking (SDN) expertise
- Experience with PyTorch and TensorFlow

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-HPC-Storage-Engineer_JR2014997