NVIDIA
AI Computing
SeniorProductionEngineerDGXCloud
“Senior Production Engineer - DGX Cloud at NVIDIA. Skills: Production Engineering, DevOps, SRE principles, AI Infrastructure, large-scale production systems, Go, Python, Kubernetes. scale up its AI Infrastructure. production systems that enable large scalable GPU clusters to be used for a variety of AI workloads”
What You'll Achieve.
scale up its AI Infrastructure; enabling industry leading reliability, availability, and scalability of GPU assets; ensure production AI clusters run reliability and consistently with maximum performance
Industry & Context.
Evaluating system failures; improving services
What They're Looking For.
Must Have
Direct experience in a Production Engineering/DevOps/SRE role within a highly technical organization with demonstrable impact from your work, 8+ years in similar role and experience on large-scale production systems, Experience with the aforementioned Production Engineering/DevOps/SRE principles, tools and techniques, 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
Nice to Have
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
What You'll Do.
scale up its AI Infrastructure
production systems that enable large scalable GPU clusters to be used for a variety of AI workloads
working on custom software related to GPU asset provisioning
and lifecycle management across cloud providers
Implementing monitoring and health management capabilities that enable industry leading reliability
and scalability of GPU assets
harnessing multiple data streams
ranging from GPU hardware diagnostics to cluster and network telemetry
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
How You'll Work.
Team & Collaboration
work successfully with multi-functional teams, principles, and architects; coordinate effectively across organizational boundaries and geographies; Working with teams across NVIDIA
Communication Scope
communication skills
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