NVIDIA
Senior Software Engineer - DGX Cloud
$224K–$431K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 27, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 12+ years in a similar role working on large-scale production systems.
- Education
- BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.
About the job
Build and operate software that automates provisioning, lifecycle management, monitoring, and reliability for GPU infrastructure supporting large-scale machine learning systems.
What you'll do
- Develop GPU asset provisioning, configuration, lifecycle management, and data center maintenance automation across cloud providers.
- Implement monitoring, health management, and automated testing for distributed systems.
- Integrate infrastructure software across hardware, networking, and AI training applications.
What they ask for
- 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 solid understanding of Data Structures and Algorithms.
- Strong Linux system administration and management background; deep knowledge of Kubernetes and/or SLURM.
Nice to have
- Proficiency designing and building widespread distributed networks; experience managing large-scale distributed systems independently of cloud providers.
- Expertise in datacenter operations and GPU hardware; hands-on RDMA networking experience.
Pay
224,000 USD - 356,500 USD base salary (Level 5); 272,000 USD - 431,250 USD base salary (Level 6)
Tools
Go, Python, Rust, Linux, Kubernetes, SLURM, RDMA
AI focus
Build and operate GPU infrastructure that supports large-scale machine learning systems and AI training applications.
Model-written summary · the original posting is authoritative