NVIDIA
NVIDIA
NVIDIA ойындарда, деректер орталықтарында, бұлтты есептеулерде, денсаулық сақтауда, өндірісте, автомобиль өнеркәсібінде және робот техникасында қолданылатын жеделдетілген есептеу мен жасанды интеллект технологияларын әзірлейді. Компанияның жұмысы графикалық процессорларды, жасанды интеллект платформаларын, модельдеуді және салаларға арналған шешімдерді қамтиды. Олардың қатарында бірлескен 3D жұмыс процестеріне арналған NVIDIA Omniverse, автономды көліктерді әзірлеуге арналған NVIDIA DRIVE және денсаулық сақтау саласындағы қолданбаларға арналған NVIDIA Clara бар. Компания озық есептеулерді, модельдеуді және жасанды интеллект негізіндегі талдауды қолдайтын инфрақұрылым мен бағдарламалық жасақтамада жұмыс істейтін ірі техникалық командаларды біріктіреді.

Senior Distributed Systems Software Engineer – DGX Cloud | NVIDIA

Build and scale Kubernetes-based GPU infrastructure for NVIDIA DGX Cloud AI workloads. Develop scheduling, monitoring, and health-management systems for reliable, high-performance clusters.

Сипаттама

  • Help build the production systems that operate large-scale GPU clusters for AI workloads on the DGX Cloud team.
  • Create custom Kubernetes software for scheduling GPU resources.
  • Develop monitoring and health-management capabilities that improve GPU asset reliability, availability, and scalability.
  • Use diagnostics from GPU hardware alongside cluster and network telemetry to inform system operations.
  • Partner with teams across NVIDIA to keep production AI clusters reliable, consistent, and highly performant.
  • Analyze system failures and strengthen services through a structured incident-management process.

Талаптар

  • Substantial Kubernetes software-engineering experience spanning cluster operations, operator development, node-health monitoring, and GPU resource scheduling.
  • Professional software-engineering experience in a highly technical organization with demonstrable results.
  • Hands-on development with Kubernetes APIs and frameworks, beyond administering clusters.
  • Clear communication skills and the ability to collaborate with multifunctional teams, principals, and architects across organizations and regions.
  • At least 8 years of experience in a comparable role, including work on large-scale production systems.
  • Working knowledge of established software-engineering principles, tools, and practices.
  • Bachelor’s degree in computer science, engineering, physics, mathematics, or a related field, or equivalent experience.
  • Proficiency in systems programming languages such as Go or Python.
  • Strong command of data structures and algorithms.
  • Technical ability to manage and automate large-scale distributed systems across cloud providers.
  • Advanced practical experience with cluster-management platforms including Kubernetes, Slurm, and Bright Cluster Manager.
  • A demonstrated record of operational excellence in maintaining reliable, performant AI infrastructure.

Артықшылықтар

  • Equity compensation.
  • Company benefits.

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