Senior Systems Software Engineer, Containers and Kubernetes

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 69 days ago $224,000–$356,500 / year
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At a glance

AI generated

TL;DR

NVIDIA seeks a Sr. Systems Software Engineer with expertise in open-source container runtimes and Kubernetes to join its innovative team focused on GPU-accelerated applications. This role involves enabling GPUs as first-class resources within Kubernetes and collaborating across NVIDIA’s engineering teams to ensure seamless integration of software up and down the stack. The ideal candidate possesses expert-level knowledge in Go or C, a deep understanding of container orchestration systems like Kubernetes, and experience with Linux system internals, cloud computing, and distributed software design. Proficiency in Go programming, K8s Operator framework, CDI, and DRA is essential, along with active contributions to CNCF and Kubernetes SIG projects. This position offers the chance to work on cutting-edge Cloud Native technologies that enable NVIDIA accelerators in Kubernetes environments.

Skills

Go Kubernetes Linux Cloud Computing Distributed Systems Container Orchestration CNCF K8s Operator Framework Container Device Interface (CDI) Dynamic Resource Allocation (DRA) C Data Structures Algorithms Performance Optimization Security Reliability

What you'll do

  • Design and implement software solutions enabling GPUs as first-class resources in Kubernetes.
  • Develop platform software based on open-source container runtimes and Kubernetes technologies.
  • Ensure seamless integration of NVIDIA accelerators with Kubernetes across various engineering teams.
  • Contribute to Cloud Native Computing Foundation (CNCF) and Kubernetes Special Interest Group projects.
  • Utilize Go programming language expertise to enhance performance, security, and reliability in distributed systems.

What we're looking for

  • BS/MS in Computer Science or equivalent experience with 12+ years in relevant field.
  • Expert knowledge in Go and systems programming languages, understanding data structures and algorithms.
  • Strong expertise in Kubernetes, container orchestration, and cloud computing technologies.
  • Experience working with Linux system internals, performance optimization, security, and reliability.
  • Active participation and contributions to CNCF and Kubernetes SIG projects.
  • Knowledge of K8s Operator framework, Container Device Interface (CDI), and Dynamic Resource Allocation (DRA).

Market check

Salary context

This $224,000–$356,500 range sits above 100% of similar postings on FindRole.

Peer median band

$117,000–$200,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$139,100–$186,550

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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