GPU Cloud Platform Support Engineer – Troubleshooting

Nvidia Corporation in; Santa Clara (CA); On-site; USD 108,000 - 173,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Software Platform Support Engineer for GPU Cloud (Finance) to partner with internal customers, troubleshoot issues, and build documentation for self-service troubleshooting. The role requires cloud-ops experience across compute, storage and networking, with on-call rotations for production systems.

Candidates should have 5+ years of experience in distributed systems support, Kubernetes, and cloud providers like AWS, Azure, GCP, and OCI, plus strong communication skills and a

Qualifications

• 5+ years of experience supporting distributed software systems and end-user software platforms.
• Strong Linux troubleshooting and platform ownership experience.
• Experience with Kubernetes, and cloud providers (AWS, Azure, GCP, OCI).
• Background in Infrastructure, Networking, Storage, and DevOps tooling.
• Excellent customer service and communication skills.
• Willingness to work across teams and stack layers.

Responsibilities

• Coordinate with internal teams to provide Tier 1 support for cloud platforms.
• Define and improve runbooks, escalation paths, and support processes.
• Triage issues, root-cause analysis, and escalate when needed.
• File bugs and work with Site Reliability to resolve problems.
• Build tooling to improve support visibility and efficiency.
• Understand user workloads and use cases deeply.
• Participate in on-call rotations for production systems.

Skills

Cloud platforms

Kubernetes

Linux

Distributed software systems

Networking

DevOps scripting

Communication

Education

BS/MS in Computer Science or related fields

Tools

AWS

Azure

GCP

OCI

Docker

Job description

NVIDIA is seeking a Software Platform Support Engineer for GPU Cloud (Finance) to partner with internal customers, troubleshoot issues, and build documentation for self-service troubleshooting. The role requires cloud-ops experience across compute, storage and networking, with on-call rotations for production systems.

Candidates should have 5+ years of experience in distributed systems support, Kubernetes, and cloud providers like AWS, Azure, GCP, and OCI, plus strong communication skills and a