Senior Systems Software Engineer, Containers, Kubernetes

🕒 Yesterday

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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.

📋 Description

• You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor. • Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes. • This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment. • Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack. • Proficiently multitasking on different tracks to efficiently address evolving priorities.

🎯 Requirements

• BS/MS in Computer Science, or related field (or equivalent experience) • 12+ years of relevant work experience • Expert level knowledge in a systems programming language (Go, C) • Strong understanding of Data Structures and Algorithms • Strong understanding of Container Orchestration Systems (K8s) and Container Technology • Knowledge and experience working with System internals of the Linux Operating System • Strong background in Cloud Computing and Distributed Software design and development • Understanding of performance, security and reliability in complex distributed systems

🏖️ Benefits

• equity • benefits