NVIDIA · 16 hours ago
Senior Software Engineer, Distributed Systems Engineer - DGX Cloud
Austin, TX
Full-time
Onsite
Senior Level
$168K/yr - $334K/yr
5+ years expNVIDIA is hiring experienced software engineers to help scale up its AI Infrastructure. The role involves working on production systems for large scalable GPU clusters and implementing monitoring and health management capabilities to ensure reliability and performance.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes
Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry
Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process
Qualification
Required
Significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling
Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work
Software development experience with kubernetes APIs and frameworks not just operating a cluster
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies
5+ years in similar role and experience on large-scale production systems
Experience with common software engineering principles, tools and techniques
You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms
Preferred
Technical competency in managing and automating large-scale distributed systems independent of cloud providers
Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)
Proven operational excellence in maintaining reliable and performant AI infrastructure
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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