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Linux Kernel Remote Jobs in Oregon (NOW HIRING)

Linux Kernel Remote information

What are the key skills and qualifications needed to thrive as a Linux Kernel Remote Engineer, and why are they important?

To thrive as a Linux Kernel Remote Engineer, you need deep knowledge of C programming, operating system concepts, and experience with Linux kernel development, often demonstrated by a computer science degree or relevant open-source contributions. Familiarity with version control systems (like Git), debugging tools (such as GDB), and kernel build systems is essential, along with possible certifications like LFCE or RHCE. Strong problem-solving skills, independence, and effective remote communication are critical soft skills for collaborating virtually and tackling complex issues. These abilities ensure robust kernel contributions, efficient collaboration in a distributed team, and the reliable operation of Linux-based systems.

What are the typical collaboration methods for remote Linux Kernel developers working with distributed teams?

Remote Linux Kernel developers frequently collaborate through version control platforms like Git, participate in mailing lists for code reviews, and use real-time communication tools such as IRC, Slack, or Matrix. Regular virtual meetings may be held to discuss progress, troubleshoot issues, and align on upcoming features or patches. Effective asynchronous communication and documenting changes clearly are essential, as team members often span multiple time zones and work independently on different subsystems.

What are Linux Kernel Remote jobs?

Linux Kernel Remote jobs involve working on the core of the Linux operating system from a remote location. These roles typically focus on developing, maintaining, or debugging kernel code, contributing to open-source projects, or supporting kernel-related features. Remote positions allow professionals to collaborate with teams worldwide, often requiring strong expertise in C programming, system architecture, and version control systems. Such jobs are common in tech companies, open-source organizations, and businesses that rely heavily on Linux-based infrastructure.

What is the difference between Linux Kernel Remote vs Linux System Administrator?

AspectLinux Kernel RemoteLinux System Administrator
Required CredentialsLinux kernel expertise, certifications like Linux Foundation Certified Engineer (LFCE)Linux certifications, such as CompTIA Linux+, LFCS
Work EnvironmentRemote, focused on kernel development and troubleshootingRemote or on-site, managing overall Linux systems and infrastructure
Employer & Industry UsageTech companies, open-source projects, hardware vendorsIT firms, data centers, enterprise IT departments

Linux Kernel Remote specialists focus on developing and maintaining the Linux kernel, requiring deep technical knowledge of kernel internals. Linux System Administrators manage and support Linux systems, ensuring stability and security. Both roles often require Linux certifications and can be remote, but their core responsibilities differ significantly.

What are the most commonly searched types of Linux Kernel jobs in Oregon? The most popular types of Linux Kernel jobs in Oregon are:
What are popular job titles related to Linux Kernel Remote jobs in Oregon? For Linux Kernel Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Linux Kernel Remote jobs in Oregon look for? The top searched job categories for Linux Kernel Remote jobs in Oregon are:
Infographic showing various Linux Kernel Remote job openings in Oregon as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 91% Physical, 7% Hybrid, and 2% Remote job distribution.
Manager, Solutions Architecture - GPU and Networking Systems

Manager, Solutions Architecture - GPU and Networking Systems

Nvidia

On-site, Remote

Full-time

Posted 2 days ago


Job description

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic technology customers, while directly contributing to designs and deep-dive debugging and shaping our product roadmap with customer feedback.

What you will be doing:

  • Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts.

  • Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters.

  • Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed.

  • Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions.

  • Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

  • Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).

  • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. Experience with data center networking (Ethernet and/or InfiniBand switches, fabrics, and associated tooling). Familiarity with data center infrastructure (power, cooling, deployment constraints).

  • Proven ability to lead technical teams, set priorities, and drive complex projects from design through production. Demonstrated success working with Product Management, Sales, and Engineering.

  • Strong time management skills and ability to balance planning with hands-on support where needed.

  • Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.

Ways to stand out from the crowd:

  • Direct people management & recruiting experience for geographically distributed technical teams.

  • Track record leading bring-up and deployment of large clusters or supercomputing environments.

  • Background in external customer-facing roles (field engineering, escalations, or pre/post-sales architecture).

  • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers

  • Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions as well as familiarity with virtualization and cloud-native networking concepts.

We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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