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On Call Kernel Developer Jobs (NOW HIRING)

Perform off-hours maintenance as required and on-call support. Develop/detail technical ... Knowledge of the Linux kernel and kernel modules Familiarity with open source tools, monitoring ...

... on-call support. • Develop/detail technical specifications and provide technical direction ... Linux kernel and kernel modules • Familiarity with open source tools, monitoring systems • ...

Experience with Linux engineering, including lifecycle management, kernel patching, maintenance ... Willingness to participate in on-call rotation and provide support during off-hours as needed. Keys ...

Experience with Linux engineering, including lifecycle management, kernel patching, maintenance ... Willingness to participate in on-call rotation and provide support during off-hours as needed. Keys ...

Site Reliability Engineer

San Francisco, CA

$67.25 - $89.25/hr

Participate in periodic on call duties. Represent the SRE team in design reviews and operational ... Experience working with Unix/Linux systems from kernel to shell and beyond, with experience working ...

Participation in on-call rotation for critical production support ensures 24x7 availability for ... Working knowledge of SAP BTP administration and DevOps tooling. * Track record of leading SAP ...

Participation in on-call rotation for critical production support ensures 24x7 availability for ... Working knowledge of SAP BTP administration and DevOps tooling. * Track record of leading SAP ...

Participation in on-call rotation for critical production support ensures 24x7 availability for ... Working knowledge of SAP BTP administration and DevOps tooling. * Track record of leading SAP ...

Senior Information Security Engineer

$109K - $147K/yr

... on-call responsibilities as part of a team rotation. Qualifications : Required : • Thorough ... with container security, kernel-level hardening, and modern isolation techniques. • AWS ...

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On Call Kernel Developer information

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$54

$76

How much do on call kernel developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for on call kernel developer in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $61.54 per hour, depending on experience, location, and employer.

What is the difference between On Call Kernel Developer vs System Administrator?

AspectOn Call Kernel DeveloperSystem Administrator
CredentialsKnowledge of Linux/Unix, programming skills, sometimes certifications like Linux FoundationCertifications like CompTIA Server+, Microsoft Certified, Linux certifications often preferred
Work EnvironmentPrimarily technical, focused on kernel and system-level issues, often in data centers or development labsOperational, managing servers, networks, and user support in office or data center settings
Industry UsageTech companies, data centers, cloud providersIT departments across various industries, including finance, healthcare, and education
Search & Comparison IntentTechnical troubleshooting, kernel development, system stabilitySystem maintenance, user support, network management

The main difference is that On Call Kernel Developers focus on low-level system code and kernel issues, often working in technical environments, while System Administrators handle broader system management and user support. Both roles require technical skills but differ in scope and focus.

More about On Call Kernel Developer jobs
What are the most commonly searched types of Kernel Developer jobs? The most popular types of Kernel Developer jobs are:
What job categories do people searching On Call Kernel Developer jobs look for? The top searched job categories for On Call Kernel Developer jobs are:
Infographic showing various On Call Kernel Developer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $113,185 per year, or $54.4 per hour.
Senior System Software Engineer - DevOps and Infrastructure Automation

Senior System Software Engineer - DevOps and Infrastructure Automation

Nvidia

Seattle, WA • On-site

$147K - $190K/yr

Full-time

Posted 15 days ago


Job description

Become a Senior System Software Engineer on NVIDIA's AI Inference Operations Team, focusing on DevOps and Infrastructure Automation. Join a company revolutionizing computer graphics, PC gaming, and accelerated computing. You will be working alongside a team of passionate and skilled engineers who are continuously building better tools to deploy and manage this infrastructure. With your help, we will forge the next generation of compute infrastructure. If you thrive at the intersection of systems programming, cloud-native infrastructure, and developer productivity, this is your opportunity to make a lasting impact at a leading technology company.

What you'll be doing:

  • Design, build, and operate the infrastructure backbone powering AI inference products - reliable, performant, and scalable at every layer!

  • Own Kubernetes deployments end-to-end across cloud and on-prem: runbooks, canary checks, post-deploy validation, and rollbacks when needed.

  • Architect CI/CD pipelines for automated build, test, packaging, and release of inference libraries and their container-based software stacks.

  • Build observability that actually tells the truth about platform health - dashboards, logs, metrics, automated checks - and lead first-level incident triage with clean, actionable handoffs to engineering.

  • Manage cloud and on-prem environments with infrastructure-as-code (Terraform, Ansible, Helm, Crossplane), and chip away at toil using GitHub Actions, GitLab CI, and custom tooling.

  • Own the security posture for infrastructure components: vulnerability scans, CVE remediation, and compliance with internal policies.

  • Collaborate closely with deep learning framework engineers, compiler teams, and platform architects to streamline end-to-end deployment!

What we need to see:

  • BS/MS in CS/CE or equivalent experience, plus 7+ years operating production distributed systems (SRE / DevOps / Platform Ops).

  • Deep Kubernetes expertise - components, subsystems, on-prem setup, and hands-on debugging of telemetry-heavy microservices across AWS, Azure, GCP, and on-prem.

  • Strong CI/CD chops (GitLab CI, GitHub Actions), Git-based workflows, Linux systems programming, and scripting in Python and Bash.

  • IaC fluency (Terraform, Ansible, Helm, Crossplane) and containerization depth (Docker, containerd, OCI).

  • Proven reliability ownership - SLOs/SLIs, on-call, incident response, and post-incident reviews that drive measurable improvements - backed by hands-on experience with observability stacks like Prometheus, Grafana, and Loki.

  • A clear communicator who writes runbooks people actually use!

Ways to stand out from the crowd:

  • MLOps experience - crafting, deploying, and operating machine learning pipelines end to end.

  • Experience in open-source development workflows and community engagement on projects like Triton Inference Server or ONNX Runtime.

  • Familiarity with GPU software stacks - CUDA, cuDNN, TensorRT, and inference serving frameworks.

  • Experience building custom test automation frameworks and using data-driven metrics to improve platform health and developer efficiency.

  • Demonstrated ability to debug complex issues spanning kernel modules, container runtimes, and distributed networking.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993