Senior Manager, Storage Production Engineering

NVIDIA Corporation; New York (NY); Remote; USD 272,000 - 431,000; Full time

Job summary

NVIDIA is seeking a Storage Production Engineering lead to shape and scale our storage platforms for AI and HPC workloads. You will guide a team of engineers across on-prem and cloud storage, driving reliability, performance, and cost efficiency in a fast-paced environment.

You will collaborate with engineering, DevOps, and AI/ML teams to optimize data pipelines, design for high availability, and implement modern storage technologies.

Qualifications

• BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
• 12+ total 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.
• Hands-on experience with production infrastructure operations, including on-call rotations, incident response, maintenance, troubleshooting, and optimization of production systems, with SLOs and KPIs.
• Hands-on experience with parallel file systems (Lustre/GPFS), distributed storage (Ceph/MinIO), and enterprise object/NAS platforms (S3-compatible, NetApp, Pure Storage).
• Strong knowledge of block, file, and object storage, performance tuning, data protection, and HA design.
• Experience with storage networking and protocols (NFS, SMB, iSCSI, Fibre Channel, RDMA, NVMe-oF).
• Automation and infrastructure-as-code with Terraform, Ansible, or Puppet.
• Strong monitoring/observability knowledge (Prometheus, InfluxDB, Elastic Stack).

Responsibilities

• Leading and coaching a team of Storage Production Engineers in 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 improve reliability, efficiency, and operability of storage services.
• 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 implementing changes to prevent recurrence.
• Partnering with engineering, DevOps, and AI/ML teams to improve data pipelines, access patterns, and workflow performance.

Skills

People management

Storage architecture

Automation tooling

Monitoring/observability

Networking knowledge

Education

BS/MS in Computer Science or Storage

Tools

Terraform

Ansible

Puppet

Prometheus

InfluxDB

Elastic Stack

Lustre/GFPS

Ceph/MinIO

Job description

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.

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

NVIDIA offers a comprehensive benefits package designed to support your physical, mental, and financial well‑being. This may include medical, dental, and vision coverage, mental health resources, retirement and 401(k) plans, an employee stock purchase plan, paid time off and holidays, family and caregiving leave, and a range of wellness and development programs. Specific benefits vary by location, but all are built to help you do your life’s work and grow your career at NVIDIA.

#LI-Remote

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.