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Virtual Linux Kernel Developer Jobs in Durham, NC

Nvidia

Senior Solution Engineer, Networking

Durham, NC

$53.50 - $68.75/hr

We want to see experience in multiple areas such as network operating systems (NOS), Linux network ... Strong system software (firmware, BIOS, kernel, driver, operating system) expertise * Professional ...

Parsons

Embedded Engineer - TS/SCI

Raleigh, NC

$125K - $225K/yr

Linux inter-process communication and kernel module software development. * Multithreaded and real-time programming techniques. * Knowledge of Linux, VxWorks, or other embedded systems internals.

Qualys

Technical Support Engineer

Raleigh, NC · On-site

Strong foundation in Windows and/or solid Linux/Unix experience in an enterprise environment ... Knowledge of kernel mode vs. user mode, Active Directory, and Group Policies. Familiarity with ...

Qualys

Technical Support Engineer

Raleigh, NC

Strong foundation in Windows and/or solid Linux/Unix experience in an enterprise environment ... Knowledge of kernel mode vs. user mode, Active Directory, and Group Policies. Familiarity with ...

Qualys

Technical Support Engineer

Raleigh, NC · On-site

Strong foundation in Windows and/or solid Linux/Unix experience in an enterprise environment ... Knowledge of kernel mode vs. user mode, Active Directory, and Group Policies. Familiarity with ...

Qualys

Technical Support Engineer

Raleigh, NC · On-site

Strong foundation in Windows and/or solid Linux/Unix experience in an enterprise environment ... Knowledge of kernel mode vs. user mode, Active Directory, and Group Policies. Familiarity with ...

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All JobsLinux Kernel Developer JobsVirtual Linux Kernel Developer JobsVirtual Linux Kernel Developer Jobs in Durham, NC

Virtual Linux Kernel Developer information

See Durham, NC salary details

$97.6K

$144K

$170.1K

How much do virtual linux kernel developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for virtual linux kernel developer in Durham, NC is $144,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $159,400.00 per year, depending on experience, location, and employer.

What does a virtual Linux kernel developer do?

A Virtual Linux Kernel Developer specializes in designing, developing, and maintaining the core components of the Linux operating system, particularly in virtualized environments. This includes working on kernel modules, optimizing performance for virtual machines, and fixing bugs related to virtualization technologies. They often collaborate with open-source communities and contribute to projects that enhance Linux's compatibility with different hypervisors and cloud platforms. Their role is critical in ensuring the efficiency, security, and stability of Linux systems running in virtualized settings.

What are the key skills and qualifications needed to thrive as a virtual Linux kernel developer?

To thrive as a Virtual Linux Kernel Developer, you need deep expertise in Linux kernel architecture, C programming, and operating system concepts, typically supported by a degree in Computer Science or related fields. Familiarity with version control systems like Git, debugging tools such as GDB, and experience with virtualization technologies (e.g., KVM, QEMU) are essential. Strong problem-solving abilities, attention to detail, and effective remote communication distinguish outstanding professionals in this role. These skills are crucial for developing robust kernel modules, diagnosing complex issues, and collaborating efficiently within distributed development teams.

What are some common challenges faced by virtual Linux kernel developers when debugging complex virtualization issues?

Virtual Linux Kernel Developers often encounter intricate challenges when debugging issues related to virtualization, such as timing discrepancies, non-deterministic behavior, and compatibility with diverse hypervisors. These issues can be difficult to isolate since they may only manifest under specific workloads or hardware configurations. Collaboration with systems engineers, QA teams, and sometimes upstream kernel communities is usually essential to identify root causes and implement robust solutions. Being comfortable with low-level debugging tools, kernel logs, and patch testing in virtual environments is key to overcoming these challenges.

What is the difference between Virtual Linux Kernel Developer vs Virtual Linux System Programmer?

AspectVirtual Linux Kernel DeveloperVirtual Linux System Programmer
Primary FocusDeveloping and maintaining Linux kernel codeWriting and optimizing system-level software for Linux
Required SkillsC programming, kernel architecture, debugging kernel modulesC, C++, system calls, device drivers
Work EnvironmentCollaborative development, version control, Linux environmentsSystem integration, testing, Linux-based systems
Industry UsageOpen-source projects, tech companies, hardware vendorsIT services, embedded systems, enterprise solutions

While both roles involve Linux and system-level programming, Virtual Linux Kernel Developers focus on kernel code development, whereas Virtual Linux System Programmers work on system software and application interfaces. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Virtual Linux Kernel Developer jobs in Durham, NC?

For Virtual Linux Kernel Developer jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Virtual Linux Kernel Developer jobs in Durham, NC look for?

The top searched job categories for Virtual Linux Kernel Developer jobs in Durham, NC are:

Virtual Linux Kernel Developer jobs near you

Senior System Architect, Infrastructure Reliability

Nvidia

Durham, NC • Hybrid

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects.


What you'll be doing:

  • Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure.

  • Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs.

  • Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters.

  • Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams.

  • Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs.


What we need to see:

  • Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming.

  • Experience building automated RCA (Root Cause Analysis) pipelines for HPC or cloud-scale environments.

  • CPU Architecture Deep-Dive: Expert knowledge of x86/ARM node-level metrics: IPC (Instructions Per Cycle), cache contention, NUMA imbalance, and hardware interrupts.

  • Programming Proficiency: Strong C++ and Python skills, with the ability to build high-performance daemons that monitor system health without impacting workload performance.

  • Scale Experience: Familiarity with cluster resource managers (Slurm, LSF, or Kubernetes) and how they manage job lifecycle and signal propagation.


Ways To Stand Out From The Crowd:

  • Low-Level Diagnostics: Expert knowledge of the Linux kernel and its error-reporting interfaces (/dev/mcelog, dmesg, journald). Understand how the kernel handles hardware exceptions and memory faults.

  • GPU Infrastructure Proficiency: Deep experience with the NVIDIA DCGM (Data Center GPU Manager) and NVIDIA Management Library (NVML) for monitoring device health and capturing state-dumps.

  • Experience with tools doing non-intrusive monitoring of application health and syscall-level failure patterns.

  • Experience with checkpoint/restore technologies (like CRIU) and their application in long-running EDA flows.


#LI-Hybrid

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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