Senior Software Support Engineer - Slinky

NVIDIA•Us, UT

1d•Hybrid

About The Position

NVIDIA is seeking a Senior Support Engineer with expertise in Kubernetes, Linux systems administration, and technical support. The hybrid role primarily focuses on customer support, with opportunities to contribute to software development and system-level troubleshooting. The engineer will help customers deploy and operate Slinky, investigate complex issues involving Slinky, Kubernetes, and Slurm, and work with other engineers to ensure Slinky operates reliably and efficiently. The position involves supporting production environments, analyzing system performance, and writing reliable, maintainable code. The engineer will develop, maintain, and optimize Slinky software, Kubernetes integrations, and tooling to address customer issues. They will build automated tests and troubleshooting tools, collaborate across Engineering, Operations, Infrastructure, and Deployment teams, and stay current with Kubernetes, containers, Linux, and related technologies.

Requirements

At least 5 years of experience in technical support and systems software development, plus a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Strong knowledge of Kubernetes architecture, operators, scheduling, networking, storage, and cluster operations.
Experience troubleshooting production Kubernetes environments using 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.

Nice To Haves

Experience with Kubernetes operators, custom resources, and Helm.
Background in system administration or High Performance Computing.
Experience with Slinky, Slurm Workload Manager, or other HPC scheduling systems.
Knowledge of operating system internals or hardware-software interaction.
Contributions to open-source Kubernetes or HPC projects.

Responsibilities

Support customers deploying and operating Slinky.
Debug and resolve Slinky deployment, reliability, and performance issues.
Develop, maintain, and optimize Slinky software, Kubernetes integrations, and tooling to address customer issues.
Write clean, maintainable, 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.