Senior Software Support Engineer - Slinky

NVIDIA Corporation; Utah; Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in United States is seeking a Senior Support Engineer with deep Kubernetes and Linux systems expertise to support Slinky, Kubernetes, and Slurm in a hybrid role. You will help customers deploy and operate, troubleshoot complex issues, and contribute to software development and automation across GPU environments.

You will collaborate with engineering and operations teams, stay current with container tech, and help ensure reliability and performance in production environments.

Qualifications

• 5+ years in technical support and systems software development or equivalent.
• Strong knowledge of Kubernetes architecture, operators, scheduling, networking and cluster operations.
• Experience troubleshooting production Kubernetes environments with logs and metrics.
• Solid understanding of Linux systems, networking and file systems.
• Experience with Go or C and familiarity with software development lifecycles and Agile.

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.
• Write clean, maintainable, well-documented code that adheres to standards.
• Build automated tests and troubleshooting tools to improve reliability and prevent regressions.
• Collaborate with Engineering, Operations, Infrastructure and Deployment teams; stay current with Kubernetes, containers, Linux and related tech.

Skills

Kubernetes

Linux systems administration

Go/C languages

Customer-focused communication

Troubleshooting

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Docker

Slurm

Go

C

Kubernetes tooling

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology - and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are 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. You’ll help customers deploy and operate Slinky, investigate complex issues across Slinky, Kubernetes, and Slurm, and work with fellow engineers to help ensure Slinky operates reliably and efficiently. You’ll be equally comfortable supporting production environments, analyzing system performance, and writing reliable, maintainable code.

What you'll be doing:

• 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

What we need to see:

• 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

Ways to stand out from the crowd:

• 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 are a plus

NVIDIA is leading the way in groundbreaking developments in modern computing and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction - from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help accelerate the next wave of artificial intelligence. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

• Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 140,000 USD – 224,250 USD for Level 3; and 168,000 USD – 270,250 USD for Level 4.

• You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November11,2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.