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Remote Kernel Developer Jobs in Baldwin Park, 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 ...

Sun West Mortgage-Since 1980

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Software Engineer

Cerritos, CA · Remote

$100K - $200K/yr

C/C++ (financial kernel), Java (via JNI) * Databases: Oracle (financial engine), MongoDB (AI ... Fully Remote Salary Range: Entry Level: $100,000-$120,000/year Experienced / Exceptional Talent ...

All JobsKernel Developer JobsRemote Kernel Developer JobsRemote Kernel Developer Jobs in Baldwin Park, CA

Remote Kernel Developer information

See Baldwin Park, CA salary details

$44

$64

$96

How much do remote kernel developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote kernel developer in Baldwin Park, CA is $64.87, according to ZipRecruiter salary data. Most workers in this role earn between $53.99 and $68.22 per hour, depending on experience, location, and employer.

What cities near Baldwin Park, CA are hiring for Remote Kernel Developer jobs?

Cities near Baldwin Park, CA with the most Remote Kernel Developer job openings:

Remote Kernel Developer jobs near you
Infographic showing various Remote Kernel Developer job openings in Baldwin Park, CA as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,937 per year, or $64.9 per hour.

CUDA Developer - Remote

YO AI Labs

Los Angeles, CA • Remote

$60 - $100/hr

Full-time

Posted 8 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.