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Virtual Linux Kernel Developer Jobs in San Jose, CA

Principal Software Developer Engineer

Sunnyvale, CA · On-site

$157K - $211K/yr

... Virtual Machine (FSW-VM) product line and the Marvell CPSS SDK work for both VM and hardware. • ... Linux kernel programming, including system calls and custom device drivers • Experience with ...

Showing results 41-60

Virtual Linux Kernel Developer information

See San Jose, CA salary details

$118.4K

$174.7K

$206.3K

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 San Jose, CA is $174,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,000.00 and $193,400.00 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 the most commonly searched types of Linux Kernel Developer jobs in San Jose, CA?

The most popular types of Linux Kernel Developer jobs in San Jose, CA are:

What job categories do people searching Virtual Linux Kernel Developer jobs in San Jose, CA look for?

The top searched job categories for Virtual Linux Kernel Developer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Virtual Linux Kernel Developer jobs?

Cities near San Jose, CA with the most Virtual Linux Kernel Developer job openings:

Infographic showing various Virtual Linux Kernel Developer job openings in San Jose, CA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $174,699 per year, or $84 per hour.

Senior Linux Kernel Systems Software Engineer - CSP Engagements

NVIDIA Corporation

Santa Clara, CA • On-site

$184 - $356.50/hr

Other

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

## Senior Linux Kernel Systems Software Engineer – CSP EngagementsApplylocations: US, CA, Santa Clara: US, TX, Austin: US, WA, Redmond: US, WA, Seattletime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2015287NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware, Linux kernel development, and middleware development, with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment.**What you’ll be doing:*** Design and develop software solutions for data center servers including Linux kernel modifications, device drivers, and system optimizations for GB200 and next-gen platforms.* Lead hardware bring-up activities, BSP development, and hardware-software co-design for Cloud Service Provider deployments.* Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions.* Collaborate with cross-functional teams in designing end-to-end solutions spanning firmware, OS, middleware, and applications with focus on AI/ML and HPC workloads.* Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments.* Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.**What we need to see:*** Deep expertise in data center server architectures, HPC systems, and hardware-software co-design.* Expert knowledge of Linux kernel internals, device drivers, communication protocols (PCIe, USB, Ethernet).* Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.* Ability to debug kernel crash dumps and all types of lock-up issues. Hands-on experience with GDB, kdump, and eBPF tracing to debug multiprocessor systems. Good understanding of ARM and Intel assembly.* Strong understanding of PCIe virtualization and IOMMU.* Deep understanding of NUMA architectures including memory topology, processor-memory locality, and performance optimization for multi-CPU systems in data center environments.* Strong programming skills in C/C++, Python, plus experience with virtualization, Kubernetes, and cloud-native architectures.* Skilled in complex system-level debugging, performance analysis, and test design.* BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). 10+ years of system software development experience.**Ways to stand out from the crowd:*** Experience with GPU computing (CUDA), deep learning workloads* Expertise in Out of Band and In-band management architectures* Knowledge of Memory fabric and CXL architecturesNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you!Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track!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 August 3, 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. #J-18808-Ljbffr

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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