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Remote Linux Kernel Development Jobs in California

Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate ... remote position. Application Deadline This position is anticipated to close on Sep 4, 2026. About ...

Triage Automation Engineer

Sunnyvale, CA · On-site +1

$144K - $183K/yr

Work with development, ML, and AI teams to deliver the tooling improvements Triage needs * Build ... Hands-on experience operating in a remote Linux environment * Experience building or maintaining ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Showing results 21-40

Remote Linux Kernel Development information

What is the difference between Remote Linux Kernel Development vs Remote Linux System Administration?

AspectRemote Linux Kernel DevelopmentRemote Linux System Administration
Primary FocusDeveloping and modifying the Linux kernel codeManaging, configuring, and maintaining Linux systems
Required SkillsC programming, kernel architecture, debugging kernel issuesShell scripting, system setup, user management
Work EnvironmentCollaborative development teams, coding environmentsRemote support, system monitoring, troubleshooting
CertificationsLinux Foundation certifications, Linux kernel development coursesLinux Professional Institute (LPI), CompTIA Linux+

Remote Linux Kernel Development involves coding and improving the Linux kernel itself, requiring deep technical skills in C and kernel architecture. In contrast, Remote Linux System Administration focuses on maintaining and supporting Linux systems, emphasizing configuration, security, and troubleshooting. Both roles often operate in similar environments and may require Linux certifications, but their core responsibilities differ significantly.

What are the most commonly searched types of Linux Kernel Development jobs in California?

The most popular types of Linux Kernel Development jobs in California are:

What job categories do people searching Remote Linux Kernel Development jobs in California look for?

The top searched job categories for Remote Linux Kernel Development jobs in California are:

What cities in California are hiring for Remote Linux Kernel Development jobs?

Cities in California with the most Remote Linux Kernel Development job openings:

Manager, Solutions Architecture - Emerging AI labs

Santa Clara, CA • On-site, Remote


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Posted 21 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 AI-native customers and emerging AI labs, while directly contributing to solution design and deep-dive debugging and product roadmap shaping through 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 for emerging AI labs. 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 AI-native customers and emerging AI labs.

Personally lead and guide complex compute and network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead compute, network, and 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 and Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Seek opportunities to expand NVIDIA's solution engagements across strategic AI-lab customers. 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 including Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting.

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

Ways to stand out from the crowd: Track record leading bring-up and deployment of large clusters or supercomputing environments. Background working with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing roles (field engineering, 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. Familiarity with virtualization and cloud-native networking concepts. We make extensive use of conferencing tools, but occasional travel (up to 20%) is required for on-site customer visits and industry events

We are open to remote work locations 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.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 14, 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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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