In this role at NVIDIA, you will lead a team of Storage Production Engineers focused on maintaining and improving large scale storage systems that support advanced AI and high performance computing. You will collaborate with engineering and AI teams to enhance data movement through storage platforms and guide the adoption of new storage technologies. This position offers an opportunity to foster a collaborative and inclusive environment while making a significant impact on the reliability and efficiency of storage services. Your leadership will be crucial in shaping the future of storage solutions at NVIDIA.

• 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.
• Hands on experience with parallel file systems, distributed storage, and enterprise object or NAS platforms.
• Strong knowledge of block, file, and object storage, including performance tuning and high availability design.
• 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 used to operate and improve storage systems.

• Lead and coach a team of Storage Production Engineers in a collaborative and inclusive environment.
• Design, deploy, and improve large scale storage systems including distributed storage and parallel file systems.
• Utilize automation, monitoring, and analytics to enhance the reliability and efficiency of storage services.
• Own capacity planning, data lifecycle management, cost awareness, and disaster recovery plans for storage.
• Evaluate and adopt modern storage approaches such as NVMe over Fabrics and cloud based storage.
• Guide incident response and root cause analysis for storage issues to prevent future problems.
• Partner with engineering, DevOps, and AI/ML teams to enhance data pipelines and workflow performance.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.