
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.
🔥 0 minutes ago
🏄 California, Texas, +1 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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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.
• 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
• 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)
• Equity • Benefits
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