Senior System Software Engineer, Kubernetes and KubeVirt
Nvidia
At a glance
AI generatedNVIDIA is hiring a Senior Software Engineer to join its dynamic team focused on developing high-performance computing infrastructure for large-scale supercomputers and data centers. This role involves designing and building scalable cloud solutions using NVIDIA’s advanced GPU, DPU, and ConnectX technologies to accelerate HPC and AI workloads. The ideal candidate will contribute to the development of AI supercomputing platforms, collaborate with cross-functional teams on new features, and maintain complex distributed systems. Required skills include 7+ years of experience in software development with Go, C/C++, or Rust, hands-on expertise with Kubernetes, familiarity with CI/CD tools like Jenkins, GitLab, or GitHub, and strong networking knowledge. Experience with K8s operators/controllers and a background in HPC or AI infrastructure is highly desirable.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 93% of similar postings on FindRole.
Peer median band
$117,000–$215,525
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$195,410
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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