Senior Manager, Storage Production Engineering

NVIDIA•Us, CA

1d•Remote

About The Position

Today, we’re harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be surrounded by a diverse, encouraging atmosphere in which all individuals are motivated to perform at their highest level. Join our team and discover how you can build a lasting impact on the world. At NVIDIA, our storage platforms support some of the most advanced AI and high performance computing work in the world. In this role, you will lead the team that keeps these systems fast, reliable, and ready to scale. You will work closely with engineering and AI teams, help shape how data moves through our platforms, and guide decisions on new storage technologies. This is a chance to grow people, improve systems, and see your work have clear impact.

Requirements

BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
12+ overall years of experience in large scale storage architecture, operations, production engineering, or infrastructure.
6+ years of people management or technical leadership experience with storage, infrastructure, or site reliability teams.
Direct experience managing infrastructure operations including on-call rotations, incident response, ongoing maintenance, troubleshooting, and optimization of production systems, managing SLOs and operational KPIs
Hands on experience with parallel file systems (such as Lustre or GPFS), distributed storage (such as Ceph or MinIO), and enterprise object or NAS platforms (such as S3 compatible systems, NetApp, or Pure Storage).
Strong knowledge of block, file, and object storage, including how to tune performance, protect data, and design for high availability.
Experience with storage networking and protocols like NFS, SMB, iSCSI, Fibre Channel, RDMA, and NVMe-oF.
Practical experience with automation and infrastructure as code using tools such as Terraform, Ansible, or Puppet.
Strong knowledge of monitoring and observability tools (for example Prometheus, InfluxDB, or Elastic stack), logging, and alerting used to operate and improve storage systems.

Nice To Haves

Experience managing and scaling SRE/Production Engineering teams in large scale, mission critical environments with focus on operational excellence, service availability, and performance
A track record of improving reliability, simplicity, and day to day operations for large, business critical storage systems.
Experience building or scaling storage for AI/ML or HPC workloads, including hybrid or multi cloud setups (for example AWS S3, Azure Blob, or Google Cloud Storage), as well as on-prem infrastructure
Experience with software defined storage, cloud native storage, and Kubernetes based storage orchestration.
A visible passion for mentoring, career development, and building a supportive, high performing team culture.

Responsibilities

Leading and coaching a team of Storage Production Engineers, creating a collaborative, inclusive, and learning focused environment.
Designing, deploying, and improving large scale storage systems, including distributed storage, parallel file systems, and object storage.
Using automation, monitoring, and analytics to make storage services more reliable, efficient, and easier to operate.
Owning capacity planning, data lifecycle management, cost awareness, and high availability and disaster recovery plans for storage.
Evaluating and adopting modern storage approaches such as NVMe over Fabrics, RDMA, high speed interconnects, and cloud based storage.
Guiding incident response and root cause analysis for storage issues, and putting in place changes that prevent repeat problems.
Partnering with engineering, DevOps, and AI/ML teams to improve data pipelines, access patterns, and workflow performance.