CUDA Engineering Expert | Remote - Contract✦ anywhere

🏢 Xperteez Technology · all 118 jobs
📍 Worldwide
📅 Posted Oct 29, 2026 · via Himalayas
✅ Verified open — last confirmed 18 min ago
🏷 Cuda Developer, Gpu Engineer, Gpu Programmer, High Performance Computing Engineer, Cuda Engineer, Cuda Software Engineer +4 more
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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

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

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

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

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

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

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

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

Preferred Qualifications

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

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

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

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

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

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

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

Originally posted on Himalayas

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