Senior Systems Software Engineer, Containers and Kubernetes

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TXSeattle, WA
Salary
$224,000–$356,500 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $290k
$127k most similar roles pay here $381k

This role pays more than 99% of similar roles. Most pay $162,000–$222,000 — the shaded band above. At the midpoint, this role pays about $290k versus about $192k for comparable roles.

Based on 240 similar postings.

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 931 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 919 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Systems Software Engineer, Containers and Kubernetes

Role Posting Log in to save

NVIDIA seeks a Sr. Systems Software Engineer to join its dynamic team focused on developing platform software using open-source container runtimes and Kubernetes technologies, with an emphasis on enabling GPUs as first-class resources in Kubernetes environments. This role involves designing and implementing innovative solutions for GPU-accelerated applications, ensuring seamless integration across the entire NVIDIA stack while collaborating closely with various engineering teams. The ideal candidate possesses expert-level knowledge in Go or C programming, a deep understanding of container orchestration systems like Kubernetes, and experience with Linux system internals, cloud computing, and distributed software design. Additionally, proficiency in performance optimization, security, and reliability in complex systems is essential, along with active contributions to CNCF and Kubernetes SIG projects.

Skills

Go Kubernetes Linux Cloud Computing Distributed Systems Container Orchestration CNCF K8s Operator Framework Container Device Interface Dynamic Resource Allocation C Data Structures Algorithms Terraform CI/CD Prometheus Grafana

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) projects and Kubernetes Special Interest Groups (SIGs).
  • Work on improving performance, security, and reliability in complex distributed systems using Go.

What we're looking for

  • BS/MS in Computer Science or equivalent experience in systems software development.
  • Expert knowledge in Go programming language and understanding of Kubernetes.
  • Deep expertise in container orchestration, cloud computing, and distributed system design.
  • Experience with Linux system internals, performance optimization, security, and reliability.
  • Active participation and contributions to CNCF and Kubernetes SIG projects.
  • Familiarity with K8s Operator framework, Container Device Interface (CDI), and Dynamic Resource Allocation (DRA).

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