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Remote Linux Kernel Development Jobs in Claremont, CA

YO AI Labs

CUDA Developer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

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 ...

All JobsLinux Kernel Development JobsRemote Linux Kernel Development JobsRemote Linux Kernel Development Jobs in Claremont, CA

Remote Linux Kernel Development information

See Claremont, CA salary details

$100.2K

$147.9K

$174.6K

How much do remote linux kernel development jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote linux kernel development in Claremont, CA is $147,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,400.00 and $163,700.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Linux Kernel Development jobs in Claremont, CA?

For Remote Linux Kernel Development jobs in Claremont, CA, the most frequently searched job titles are:

What cities near Claremont, CA are hiring for Remote Linux Kernel Development jobs?

Cities near Claremont, CA with the most Remote Linux Kernel Development job openings:

Remote Linux Kernel Development jobs near you
Infographic showing various Remote Linux Kernel Development job openings in Claremont, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $147,859 per year, or $71.1 per hour.

CUDA Developer - Remote

Los Angeles, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $100/hr

Full-time

Posted 4 days ago

Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities

  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications

  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications

  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.