Senior Site Reliability Engineer - Storage

NVIDIA•Santa Clara, CA

9d•$168,000 - $333,500

About The Position

NVIDIA is seeking a Senior Site Reliability Engineer focused on HPC storage. The role designs, implements, and optimizes on-premises High-Performance Computing (HPC) storage solutions supplemented by cloud computing. It includes developing and deploying distributed storage solutions and automation tools, and ensuring efficient operation of NVIDIA’s IT ecosystem. The engineer collaborates with engineering teams to align infrastructure with evolving requirements, documents best practices, and supports the success of major projects. The expected base salary ranges are $168,000–$270,250 for Level 4 and $208,000–$333,500 for Level 5. The position is also eligible for equity and benefits. Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

Requirements

Bachelor’s degree in Computer Science or equivalent experience with 8+ years of relevant experience; alternatively, a master’s degree with 5+ years of experience or a Ph.D. with 3 years of experience.
8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
Experience designing, deploying, and managing enterprise NAS solutions such as NetApp and Pure Storage, and S3-based storage such as Cloudian MinIO.
Experience with one or more parallel or distributed file systems, such as Lustre or GPFS.
Python, Bash, or Golang programming or scripting experience.
Strong experience operating services in at least one leading cloud environment: AWS, Azure, or GCP.
Experience with multiple monitoring stacks, such as Prometheus and Grafana, Elasticsearch and Kibana, Splunk, or Zabbix; familiarity with newer and emerging monitoring products.
Excellent communication and collaboration skills.

Nice To Haves

Background with RDMA fabrics, including InfiniBand or RoCE.
Experience with HPC cluster management tools such as Slurm, PBS, or LSF.
Experience with containerization technologies such as Docker, Mesosphere DCOS, or Kubernetes.

Responsibilities

Design and implement on-premises HPC infrastructure supplemented by cloud computing to support NVIDIA’s IT needs.
Design and implement scalable, efficient storage solutions for data-intensive applications, optimizing performance and cost-effectiveness.
Develop tools to automate deployment and management of large-scale infrastructure, operational monitoring and alerting, and self-service resource consumption.
Document procedures and practices and perform technology evaluations related to distributed file systems.
Collaborate across teams to understand developers’ workflows and gather infrastructure requirements.
Influence and guide methods for building, testing, and deploying applications to optimize performance and resource utilization.