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Xperteez Technology

CUDA Engineering Expert | Remote - Contract

Sorry, this job was removed at 04:05 p.m. (EST) on Thursday, Oct 08, 2026
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Hiring Remotely in United States
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Remote
Hiring Remotely in United States
Entry level

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Optimize GPU kernels using CUDA and profiling tools to improve computational throughput across modern hardware. Refactor C++ and CUDA code, implement GLSL and WebGPU shader workflows, analyze performance bottlenecks, document optimization findings, and collaborate with stakeholders on GPU-based approaches and metrics.
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Role Title: CUDA Engineering Expert

Role Type: Contractor

Location: Remote

We are engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Required Skills

  • CUDA

  • C++

  • GLSL

  • WebGPU

Scope of Work

  • Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.

  • Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.

  • Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.

  • Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.

  • Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.

  • Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics.

  • Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.

Preferred Qualifications

  • Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.

  • Advanced C++ development skills, particularly in high-performance computing environments.

  • Hands-on experience with GLSL and WebGPU for graphics and compute shader development.

  • Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization.

  • Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.

  • Excellent written and verbal communication skills—clear documentation and technical reporting are essential.

  • Experience collaborating in remote, cross-disciplinary project settings is a plus.

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