Senior Software Engineer, Kubernetes Runtime and Release
Full Job Posting
What we need to see:
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.
Ways to stand out from the crowd
Experience in any of these areas is valuable, but not required:
Go development with controller-runtime, CRDs, and reconcilers.
Release qualification across multiple environments or platforms.
GPU infrastructure, accelerated networking, or GPU scheduling.
Bringing new hardware, regions, or cloud providers into production.
Resource allocation, leasing, or fair-share scheduling and upstream integration, compatibility, or software supply chain integrity.
This role suits an engineer who wants direct influence over what reaches production, and who builds for the hundredth cluster while shipping the first. Join us and help build the next generation of NVIDIA’s GPU cloud infrastructure!
You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
About Nvidia
Computing platform company for AI and accelerated graphics.
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