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.
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.Skills Required
- BS/MS degree in Computer Science or a related area, or equivalent experience
- 5+ years of experience supporting distributed software systems and end-user software platforms
- Experience with Linux
- Experience with Kubernetes
- Experience with AWS, Azure, OCI, and GCP
- Background in infrastructure, networking, storage, and DevOps scripting/tooling
- Understanding of database, file, block, and blob storage technologies
- Customer service or support experience
- Strong troubleshooting and communication skills
- Willingness to work across the technology stack and multiple teams
- Experience with MLOps workflows or machine learning infrastructure
- Familiarity with GPU workloads or distributed training systems
- SLURM or HPC experience
- Strong organizational skills and drive to improve processes
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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