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Remote Windows Kernel Developer Jobs in Austin, TX

CUDA Developer - Remote

Austin, TX · 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 ...

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 considered for exceptional candidates. As part of a software-defined hardware company, you ... CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such ...

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121K - $160K/yr

Linux systems programming experience, including kernel interfaces and driver development * Strong ... This is a remote position for employees residing within the United States. We offer a competitive ...

Implement device drivers, manage kernel configurations, and utilize build systems such as Yocto or ... Who You are: * Degree in Engineering, Computer Science, or equivalent. * Minimum 8 years ...

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Linux kernel drivers * Firmware * Embedded systems * ASIC development * Hardware/software ...

Sr. Network Security Engineer

Bastrop, TX · Remote

$58.25 - $76/hr

Own the full lifecycle of remote access infrastructure from initial design and ground-up ... Configure, deploy, and support VPN clients across multiple platforms (Windows, macOS, Linux, iOS ...

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Remote Windows Kernel Developer information

See Austin, TX salary details

$60K

$133.8K

$221.5K

How much do remote windows kernel developer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote windows kernel developer in Austin, TX is $133,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $158,600.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Windows Kernel Developer jobs in Austin, TX?

The most popular types of Windows Kernel Developer jobs in Austin, TX are:

What job categories do people searching Remote Windows Kernel Developer jobs in Austin, TX look for?

The top searched job categories for Remote Windows Kernel Developer jobs in Austin, TX are:

CUDA Developer - Remote

YO AI Labs

Austin, TX • Remote

$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.