Senior Software Engineer, Kubernetes Runtime

🔥 3 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

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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

• Build Go controllers and APIs to install, upgrade, and validate GPU cluster software • Integrate components, define API contracts, and evolve Helm and Argo CD delivery toward controller-driven automation • Build validation pipelines that inform release decisions across providers and GPU platforms • Develop systems to allocate GPU capacity across validation runs and account for cloud reservations and quotas • Improve qualification efficiency through reusable tests and clear failure reports • Bring new providers and GPU hardware into production • Resolve integration failures with partner teams • Turn initial provisioning, upgrade, and operational checks into repeatable automation • Collaborate across Runtime, Release Engineering, and Provider Integration teams • Influence what reaches production across NVIDIA's GPU cloud infrastructure

🎯 Requirements

• 6+ years building production infrastructure software or distributed systems • Strong programming skills in Go or another language to build production systems, with willingness to work primarily in Go • Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration • Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams • BS or MS in Computer Science, Engineering, or equivalent experience • Experience with controller-runtime, CRDs, and reconcilers is valuable but not required • Experience with release qualification across multiple environments or platforms is valuable but not required • Experience with GPU infrastructure, accelerated networking, or GPU scheduling is valuable but not required • Experience bringing new hardware, regions, or cloud providers into production is valuable but not required • Experience with resource allocation, leasing, fair-share scheduling, upstream integration, compatibility, or software supply chain integrity is valuable but not required

🏖️ Benefits

• Equity • Benefits