Senior Systems Software Engineer, Containers, Kubernetes

🕒 Yesterday

🏄 California, Texas, +1 more states – Remote

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💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of NVIDIA

NVIDIA

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.

📋 Description

• Explore innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor • Enable GPUs as first-class resources in container orchestrators such as Kubernetes • Work with the core group on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment • Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly across the stack • Multitask across different tracks to address evolving priorities

🎯 Requirements

• BS/MS in Computer Science, or related field (or equivalent experience) • 8+ years of relevant work experience • Expert level knowledge in a systems programming language (Go, C) • Solid 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 • Strong experience with Go programming language, Containers and Kubernetes • Active recent participation and consistent technical contributions to CNCF and Kubernetes SIG projects • Experience with K8s Operator framework, Container Device Interface (CDI) and Dynamic Resource Allocation (DRA)

🏖️ Benefits

• Equity • Benefits

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