NVIDIASenior Software Engineer - DGX Cloud
NVIDIA is hiring a Senior Software Engineer - DGX Cloud in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Pay on this posting starts 34% higher than the typical software engineer posting on Level.
- The posting mentions Kubernetes, Slurm and Python among its tools and skills.
- NVIDIA has 2,700+ other open roles on Level.
- Posted within the past week.
AI in this role
Build and scale cloud infrastructure automation for large-scale GPU and machine learning systems at NVIDIA.
Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.
What you will be doing:
- Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
- Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems.
- Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets.
- Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Build automated test infrastructure that we use to qualify distributed systems for operation.
- Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications.
What we need to see:
- 12+ years of experience in a similar role working on large-scale production systems.
- BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.
- Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a solid understanding of Data Structures and Algorithms.
- Strong background in Linux system administration and management.
- Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
- Understanding of performance, security, and reliability in complex distributed systems.
- Familiarity with system level architecture, data synchronization, fault tolerance, and state management.
Ways to stand out from the crowd:
- Proficiency in designing and building widespread distributed networks.
- Experience managing large-scale distributed systems independently of cloud providers.
- Extensive expertise in datacenter operations and GPU hardware.
- Hands-on experience working with RDMA networking.
- Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM).
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 31, 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.How we rate this
Senior Software Engineer - DGX Cloud at NVIDIA rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $224k
- Typical software engineer job
- $167k
This posting starts 34% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where gpu provisioning was part of your work. What did you do?
- Tell me about a project where system administration was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Cloud Infrastructure, GPU Provisioning, System Administration, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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