$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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