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.
You will also be eligible for equity and benefits.
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.Skills Required
- 5+ years of experience in technical support and systems software development
- 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
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
