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From the employer's careers site First seen 10 Nov 2026

Senior Support Engineer

NVIDIA Remote, UT Remote senior full-time

The employer hasn't listed a salary.

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Description

NVIDIA is seeking an expert Senior Support Engineer with a strong background in Kubernetes, Linux systems administration, and technical support.

This hybrid role is primarily focused on customer support, with opportunities to contribute to software development and system-level troubleshooting.

Responsibilities:

  • Support customers deploying and operating Slinky
  • Debug and resolve Slinky issues related to deployment, reliability, and performance
  • Develop, maintain, and optimize Slinky software, Kubernetes integrations, and tooling to address customer issues
  • Write clean, maintainable, and well-documented code that adheres to industry standards
  • Build automated tests and troubleshooting tools to improve reliability and prevent regressions
  • Partner with Engineering, Operations, Infrastructure, and Deployment teams
  • Stay current with Kubernetes, containers, Linux, and related technologies

Requirements:

  • 5+ years in technical support and systems software development, plus a bachelor’s degree in Computer Science, Engineering or related field (or equivalent experience)
  • Strong knowledge of Kubernetes architecture, operators, scheduling, networking, storage, and cluster operations
  • Experience troubleshooting production Kubernetes environments with logs, metrics, and debugging tools
  • Solid understanding of Linux systems, networking, and file systems
  • Experience developing or maintaining software and automation in Go, C, or similar languages; familiarity with software development lifecycles and Agile
  • Experience with containers and GPU technologies
  • Strong analytical and problem-solving skills, customer-focused communication, curiosity, and motivation to learn

Benefits:

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity eligibility

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Skills

Nice to have

  • Kubernetes operators
  • custom resources
  • Helm
  • Slinky
  • Slurm Workload Manager
  • HPC scheduling systems
  • operating system internals
  • hardware-software interaction
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