- Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools.
- Collaborate with stakeholders to identify kernel bottlenecks and propose optimization strategies.
- Refactor C++ and CUDA codebases for improved efficiency across GPU architectures.
- Implement shader logic and graphics workflows using GLSL and WebGPU.
- Document findings, optimization steps, and performance improvements with explicit reports.
- Contribute expertise to design discussions and evaluate new GPU-based approaches.
Requirements
- Demonstrated expertise in CUDA programming with a strong track record in performance-tuning.
- Advanced C++ development skills in high-performance computing environments.
- Hands-on experience with GLSL and WebGPU for shader development.
- Proficiency using GPU profilers like Nsight or Visual Profiler for optimization.
- Strong analytical abilities to evaluate kernel performance across hardware generations.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
📌 CUDA Engineering Expert | Remote (India)
🏢 Crossing Hurdles
📍 India
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