NVIDIASenior System Software Engineer, DGX Cloud AI Infrastructure
NVIDIA is hiring a Senior System Software Engineer, DGX Cloud AI Infrastructure 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 PyTorch, TensorFlow and JAX among its tools and skills.
- NVIDIA has 2,800+ other open roles on Level.
- Posted within the past week.
AI in this role
NVIDIA’s DGX Cloud team builds the infrastructure behind large-scale AI training for NVIDIA’s own training workloads and for our customers. We build services, tools and open-source software that make ML workloads more efficient and resilient.
We’re looking for a Senior Software Engineer for the NVIDIA Recovery and Resilience team. You’ll own our AI infrastructure services, tools and open-source projects to support resilient and efficient training from design through production. You’ll also mentor engineers and decide how the team runs what it builds.
What You Will Be Doing:
- Drive the design, build, launch and operation of our services, tools and open-source projects.
- Plan and assign the team’s work, mentor junior engineers and review designs.
- Build resilient AI infrastructure on Kubernetes and Slurm for NVIDIA’s own training workloads and customer workloads. This includes supercomputers at major cloud providers and on-premises clusters.
- Build APIs that connect to NVIDIA’s resiliency systems: telemetry, break/fix automation, and checkpoint and execution systems.
- Build a job submission layer that hides infrastructure failures from users and restarts long-running training jobs automatically.
- Build agentic tools that help customers improve training efficiency by finding bottlenecks, diagnosing failures and recommending fixes.
- Drive our open-source work. Release components so customers and the community can use them, and work with them to improve those components.
- Set up how the team runs its services: support, monitoring, alerts, CI/CD, integration test gates and on-call plans.
What We Need To See:
- BS, MS or PhD in Computer Science or a related field (or equivalent experience), plus 12+ years of experience.
- Proven experience who has taken large systems from design through production.
- Strong experience with Kubernetes and/or Slurm at scale.
- Hands-on experience with PyTorch, TensorFlow, JAX or Ray.
- Strong understanding of NVIDIA GPUs and networking, including how they fail.
- Experience running production services, including CI/CD, monitoring, alerting and on-call.
Ways to Stand Out from the Crowd:
- Hands-on experience with fault tolerance or checkpointing for large-scale distributed training on GPU supercomputers.
- Demonstrated experience building LLM-based agents or AI tools for performance analysis or troubleshooting.
- Background in building external services or maintaining open-source projects in ML infrastructure.
224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 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 System Software Engineer, DGX Cloud AI Infrastructure at NVIDIA rates 90 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
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
- What are the limits of JAX that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: PyTorch, TensorFlow, and JAX. 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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