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Remote Kernel Developer Jobs in Norwalk, CA (NOW HIRING)

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 ...

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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 ...

Remote Kernel Developer information

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$45

$65

$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 Norwalk, CA is $65.08, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $68.41 per hour, depending on experience, location, and employer.

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CUDA Developer - Remote

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.