Senior Engineering Manager – Containers, Kubernetes, Confidential Computing

🔥 3 minutes ago

🏄 California, Nevada, +4 more states – Remote

🏄 California – Remote 🎰 Nevada – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

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

• Manage the team working on platform software based on open-source Container runtimes, Kubernetes, Kata and Confidential Container technologies • Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor • Enable GPUs as first-class resources in Kubernetes, Kata Containers and Confidential Containers • 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 up and down the stack • Multitask across different tracks to address evolving priorities

🎯 Requirements

• BS/MS in Computer Science, or related field (or equivalent experience) • A minimum of 12 years of relevant professional experience, including at least 5 years dedicated to managing high-performing engineering teams • Strong understanding of Container Orchestration Systems (K8s) and Container Technology • Working knowledge in Systems programming languages, such as Rust and Go, alongside a strong foundation in data structures and algorithm design • Knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux • Strong background in Cloud Computing and Distributed Software design and development • Understanding of performance, security, and reliability in complex distributed systems • Strong recent experience managing engineering teams focused on Containers, Kubernetes and Confidential Computing technologies • Real-world strong hands-on experience with Containers and Kubernetes • Proficient with Kata Containers and Container sandboxing technologies • Well-versed in Attestation concepts, Key Broker Service, etc. • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.

🏖️ Benefits

• Equity • Benefits