Senior Systems Software Engineer, Containers and Kubernetes

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TXSeattle, WA
Salary
$184,000–$287,500 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $236k
$106k most similar roles pay here $307k

This role pays more than 89% of similar roles. Most pay $151,000–$222,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $186k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 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

Senior Systems Software Engineer, Containers and Kubernetes will join a small, dynamic team focused on making GPU accelerated applications easier to develop, deploy, and monitor. This role involves enabling GPUs as first-class resources in container orchestrators like Kubernetes and ensuring software integrates seamlessly across the stack. The successful candidate will work with core Cloud Native technologies to solve problems related to performance, security, and reliability in complex distributed systems. Required expertise includes Go, C, and Linux operating system internals, alongside a strong grasp of data structures, algorithms, and container orchestration. Preferred skills include experience with the K8s Operator framework, Container Device Interface, and Dynamic Resource Allocation. The role requires an expert in systems programming to develop platform software based on open-source container runtimes while managing multiple tracks to address evolving priorities within the infrastructure.

Skills

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

What you'll do

  • Develop platform software based on open-source container runtimes and Kubernetes technologies.
  • Enable GPUs as first-class resources in container orchestrators like Kubernetes.
  • Create innovative ways to develop, deploy, and monitor GPU accelerated applications.
  • Integrate software across the full stack with various engineering teams at NVIDIA.
  • Manage multiple project tracks simultaneously to address evolving technical priorities.
  • Design and build distributed systems focusing on performance, security, and reliability.
  • Implement features using Go or C within the Kubernetes ecosystem.

What we're looking for

  • BS/MS in Computer Science, a related field, or equivalent experience.
  • 8+ years of relevant work experience.
  • Expert level knowledge in systems programming languages such as Go and C.
  • Solid understanding of Data Structures and Algorithms.
  • Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
  • Knowledge and experience working with Linux Operating System internals.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security, and reliability in complex distributed systems.

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