Senior Systems Engineer: Kubernetes & Containers

NVIDIA; North Carolina; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Sr. Systems Software Engineer to contribute to platform software built around open-source container runtimes and Kubernetes. You’ll design and implement in Go and Rust, focusing on systems software, distributed design, and performance.

This role emphasizes collaboration across teams to deliver reliable, scalable cloud-native solutions for GPU-accelerated workloads. The ideal candidate has 8+ years of experience, strong Unix/Linux internals knowledge, and deep Kubernetes

Qualifications

• BS/MS in Computer Science, or related field (or equivalent experience)
• 8+ years of relevant work experience
• Expert-level knowledge in Go and Rust and solid understanding of data structures and algorithms
• Strong understanding of Kubernetes and container technology
• Expert knowledge and experience with Unix/Linux system internals
• Strong background in Cloud Computing and Distributed Software design and development
• Understanding of performance, security, and reliability in distributed systems

Responsibilities

• Join a small, dynamic team exploring innovative ways to make GPU-accelerated apps easier to develop, deploy, and monitor
• Enable GPUs as first-class resources in container orchestrators like Kubernetes
• Join the core group working on Cloud Native tech for NVIDIA accelerators in the k8s environment
• Collaborate with NVIDIA engineering teams to ensure seamless integration across the stack
• Multitask across tracks to address evolving priorities

Skills

Go

Rust

Distributed systems

Data Structures & Algorithms

Cloud computing

Unix/Linux internals

Kubernetes

Container technologies

Education

BS/MS in Computer Science, or related field

Tools

Kata Containers

Container sandboxing

SR-IOV virtualization

vGPU virtualization

Job description

NVIDIA is seeking a Sr. Systems Software Engineer to contribute to platform software built around open-source container runtimes and Kubernetes. You’ll design and implement in Go and Rust, focusing on systems software, distributed design, and performance.

This role emphasizes collaboration across teams to deliver reliable, scalable cloud-native solutions for GPU-accelerated workloads. The ideal candidate has 8+ years of experience, strong Unix/Linux internals knowledge, and deep Kubernetes