Senior HPC & AI Storage Systems Engineer

NVIDIA Corporation; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Systems Software Engineer to join the Applied Systems Engineering team and improve storage development for AI systems. You will lead analyses, implement storage policies, and coordinate with hardware and software teams across datacenter-scale projects.

Responsibilities include integrating Lustre/NFS with compute nodes, debugging storage software, and developing diagnostics and benchmarks for performance, reliability, and data integrity at scale.

Qualifications

• Experience with Lustre or NFS and storage integration into Linux clusters.
• Strong C programming and Linux debugging skills.
• Understanding filesystem and distributed-system behavior including metadata operations and concurrency.
• Experience analyzing application access patterns for performance.
• BS or MS in CS/Engineering with 12+ years of relevant experience.

Responsibilities

• Engineer and integrate storage systems for large-scale HPC and AI clusters.
• Examine I/O performance and reliability across the stack.
• Develop software fixes and performance improvements with engineering teams and open-source maintainers.
• Characterize real application I/O and translate findings into system improvements.
• Build benchmarks, tools, and tests for efficiency, latency, and scalability.
• Lead storage qualification and commissioning at cluster scale.
• Define and implement storage placement, caching, and data lifecycle policies.

Skills

C programming

Linux debugging

Python

Shell scripting

Education

BS or MS in CS/Engineering

Tools

Lustre

NFS

Linux clusters

Kernel debugging

Job description

NVIDIA Corporation is seeking a Senior Systems Software Engineer to join the Applied Systems Engineering team and improve storage development for AI systems. You will lead analyses, implement storage policies, and coordinate with hardware and software teams across datacenter-scale projects.

Responsibilities include integrating Lustre/NFS with compute nodes, debugging storage software, and developing diagnostics and benchmarks for performance, reliability, and data integrity at scale.