
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 13 hours ago
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on NVIDIA's site. Checked 4 minutes ago.

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• 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 adhering 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 • Contribute to software development and system-level troubleshooting • Analyze system performance and write reliable, maintainable code
• 5+ years in technical support and systems software development • 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 • 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
• Highly competitive salaries • Comprehensive benefits package • Equity • Benefits for employees and their families
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