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Intern Linux Kernel Development Jobs in Santa Clara, CA

Everpure

Senior System Software Manager

Santa Clara, CA · On-site

Engineering Leadership & Team Development : Lead, mentor, and empower a high-performing systems software engineering team to deliver robust Linux kernel features, hardware platform enablement, and ...

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How much do intern linux kernel development jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for intern linux kernel development in Santa Clara, CA is $20.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 per hour, depending on experience, location, and employer.

What are some common challenges faced by interns in Linux Kernel Development roles?

Interns in Linux Kernel Development often encounter challenges such as understanding the vast and complex codebase, adhering to strict coding and documentation standards, and navigating the kernel community’s review processes. It's common to spend significant time learning about kernel subsystems and debugging intricate issues. Collaborating with experienced developers and actively engaging in mailing lists can help interns overcome these hurdles and grow their technical and communication skills.

What are the key skills and qualifications needed to thrive as an intern in Linux Kernel Development?

To thrive as an Intern in Linux Kernel Development, you need a solid understanding of C programming, operating system concepts, and familiarity with Linux environments, often supported by coursework or relevant projects. Experience with version control systems like Git and tools such as GDB for debugging, as well as basic knowledge of kernel build systems, is typically expected. Strong analytical thinking, attention to detail, and proactive communication help interns stand out in collaborative and technically complex settings. These skills and qualities are essential for effectively contributing to kernel codebases, troubleshooting issues, and learning from experienced developers in a challenging open-source environment.

What does an intern in Linux Kernel Development do?

An Intern in Linux Kernel Development assists in developing, testing, and debugging components of the Linux kernel. Their responsibilities typically include writing kernel code, fixing bugs, submitting patches, and collaborating with senior developers. Interns may also work on documentation and learn about the kernel development workflow, tools, and community practices. This role provides hands-on experience with low-level programming and open-source software development.

What are the most commonly searched types of Linux Kernel Development jobs in Santa Clara, CA?

The most popular types of Linux Kernel Development jobs in Santa Clara, CA are:

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Intern Linux Kernel Development jobs near you
Infographic showing various Intern Linux Kernel Development job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $41,617 per year, or $20 per hour.

Senior Linux Kernel Systems Software Engineer - CSP Engagements

Nvidia

Santa Clara, CA

Full-time

Re-posted 25 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 244 rated software companies

Job description

NVIDIA 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 architectures

NVIDIA 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 15, 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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