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 escalate 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. 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.

Requirements

Must-haves

We expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments.
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 escalate 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
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
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 15, 2026.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesawsazuregcpmlai

Platform: eightfold
Effort: medium