Engineering Manager, Kubernetes

🔥 0 minutes ago

🏄 California, Texas, +1 more states – Remote

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

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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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

• Build and lead a team of software and production engineers focused on Kubernetes customer delivery, onboarding, and self-service • Own end-to-end delivery of production Kubernetes clusters for AI workloads from accepted request through enablement, qualification, validation, and customer handoff • Drive coordinated delivery plans with owners, dependencies, readiness gates, timelines, risks, status, and blocking issues • Partner across platform, runtime, release, fleet operations, CSE, product, TPM, security, and infrastructure teams • Build integrations connecting customer intake and status systems with Kubernetes provisioning, access, validation, and production acceptance • Automate recurring delivery tasks into self-service workflows using APIs, AI tools, and agents • Define service interfaces and measure and improve delivery speed, readiness, automation, recovery, and customer visibility • Set the team roadmap, staffing, and operational ownership • Hire, mentor, and develop technical leaders

🎯 Requirements

• 8+ overall years of industry experience, including 2+ years leading or managing engineers • Experience building platform APIs, self-service infrastructure, workflow automation, developer platforms, or customer onboarding systems • Strong understanding of Kubernetes, cloud infrastructure, distributed systems, or production engineering • Hands-on experience using AI coding tools and AI-enabled engineering workflows • Experience integrating multiple systems and teams into a reliable end-to-end workflow • Ability to translate customer and operational requirements into clear technical interfaces and automated solutions • Strong cross-functional leadership, communication, customer empathy, prioritization, and judgment • BS or MS in Computer Science, Engineering, or equivalent experience • Experience building Kubernetes provisioning, infrastructure-as-code, service catalog, or internal developer platform capabilities • Familiarity with Terraform, GitOps, identity and access management, RBAC, APIs, workflow engines, and production-readiness automation • Experience with GPU infrastructure and AI-optimized Kubernetes clusters, including accelerated networking, high-performance storage, GPU scheduling, workload qualification, or large-scale fleet operations • Track record of reducing onboarding time and operational toil through automation and self-service • Experience combining strong platform engineering with an attitude centered on product development and customer needs

🏖️ Benefits

• Equity • Benefits