Software Platform Support Engineer - GPU Cloud

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

Job summary

NVIDIA Corporation in Santa Clara, CA seeks passionate software support engineers to partner with internal customers, understand their workloads, troubleshoot issues, and create user-friendly documentation. You’ll support cloud platforms spanning compute, storage, and networking and work with SRE to improve reliability.

The role requires 5+ years in distributed software support, proficiency with Linux, and hands-on experience with Kubernetes and major cloud providers.

Qualifications

• BS/MS degree in Computer science or related areas (or equivalent experience).
• 5+ years of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux.
• Experience with Kubernetes, AWS, Azure, OCI, and GCP.
• Background of Infrastructure, Networking, Storage, and DevOps scripting/tooling.
• Understanding of data storage technologies (databases, file, block, blob).
• Customer Service/Support Experience.
• Willingness to work up and down the stack as well as across multiple teams.
• Strong skills in troubleshooting and Communication.

Responsibilities

• Coordinate with multiple internal teams to provide Tier 1 support for complex cloud platforms.
• Define and improve operational workflows (runbooks, escalation paths, support processes).
• Triage/investigate root cause of customer issues and elevate as needed.
• File bugs and report issues while working closely with the Site Reliability team.
• Build tooling to improve customer support process and visibility.
• Deeply understand user workloads and use cases.
• Partner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success.
• Be part of an on call rotation to support production systems.

Skills

Linux

Troubleshooting

Communication

Customer service

On-call rotation

Education

BS/MS degree in Computer science or related fields

Tools

Kubernetes

AWS

Azure

OCI

GCP

Job description

The NVIDIA DGX Cloud organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves in an ambiguous / fast-moving environment. The support you provide will help our users have a better experience and help shape our platform. We expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments.

What will you be doing:

• Coordinate with multiple internal teams to provide Tier 1 support for complex cloud platforms
• Define and improve operational workflows (runbooks, escalation paths, support processes)
• Triage/investigate root cause of customer issues and elevate as needed
• File bugs and report issues while working closely with the Site Reliability team
• Build tooling to improve customer support process and visibility
• Deeply understand user workloads and use cases
• Partner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success
• Be part of an on call rotation to support production systems

What we need to see:

• BS/MS degree in Computer science or related areas (or equivalent experience)
• 5+ yrs of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux
• Experience with Kubernetes, AWS, Azure, OCI, and GCP
• Background of Infrastructure, Networking, Storage, and DevOps scripting/tooling
• Understanding of data storage technologies (databases, file, block, blob)
• Customer Service/Support Experience
• Willingness to work up and down the stack as well as across multiple teams
• Strong skills in troubleshooting and Communication

Ways to stand out from the crowd:

• Experience with MLOps workflows or ML infrastructure
• Familiarity with GPU workloads or distributed training systems SLURM or HPC previous experience
• Strong drive to work with internal customers and make them successful
• A drive to improve process with strong organizational skills

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 2026.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.