Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior Systems Software Engineer – Containers, Kubernetes, Confidential Computing

NVIDIA

. Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert-level knowledge in systems programming languages such as Go and Rust, with a strong understanding of container orchestration systems like Kubernetes. Proficient in cloud computing, distributed software design, and ensuring performance, security, and reliability in complex distributed systems.

Highest-signal resume keywords
Expert Knowledge In Go ProgrammingExpert Knowledge In Rust ProgrammingStrong Understanding Of KubernetesExperience With Cloud ComputingProficient With Container Technologies

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Systems ProgrammingData StructuresAlgorithmsContainer OrchestrationDistributed Software DesignUnix/Linux System InternalsPerformance OptimizationSecurity Best PracticesReliability EngineeringContainer Sandbox Technologies
Soft Skills
CollaborationMultitasking
Tools & Technologies
KubernetesKata ContainersVirtualization TechnologiesSR-IOVVGPU
Industry Keywords
Cloud Native TechnologiesGPU AccelerationContainer TechnologyAttestation ConceptsKey Broker Service

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetesLinuxRustUnixGo

About the role

Key responsibilities & impact
  • Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor
  • Enable GPUs as first-class resources in container orchestrators such as Kubernetes
  • Work on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment
  • Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly up and down the stack
  • Multitask across different tracks to address evolving priorities

Requirements

What you’ll need
  • BS/MS in Computer Science, or related field (or equivalent experience)
  • 8+ years of relevant work experience
  • Expert-level knowledge in a systems programming language (Go, Rust) and solid understanding of Data Structures and Algorithms
  • Strong understanding of Container Orchestration Systems (K8s) and Container Technology
  • Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux
  • Strong background in Cloud Computing and Distributed Software design and development
  • Understanding of performance, security, and reliability in complex distributed systems
  • Strong experience with Rust and Go programming languages
  • Real-world strong hands-on experience with Containers and Kubernetes
  • Proficient with Kata Containers and Container sandboxing technologies
  • Well-versed in Attestation concepts, Key Broker Service, etc.
  • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.

Benefits

Comp & perks
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score