Senior CUDA Developer
2 weeks ago
Technical Expertise :
We are seeking a seasoned CUDA developer to join our team at Kudzu Infotech. The ideal candidate will have a strong background in software development with a focus on simulation, physics engines, and related areas. Specifically, we are looking for someone with expertise in C++, Python, and other relevant programming languages, as well as experience with technologies like CUDA, PyTorch, DGL, and related GPU programming frameworks.
Responsibilities :
- Design and implement parallel algorithms and data structures using CUDA C++ programming language to leverage the computational power of GPUs for accelerating scientific simulations, numerical computations, and machine learning algorithms.
- Develop CUDA kernels, device functions, and memory management techniques to optimize performance, throughput, and scalability of GPU-accelerated applications across diverse domains and use cases.
- Collaborate with software architects, researchers, and domain experts to understand project requirements, design specifications, and performance objectives for CUDA-based applications and algorithms.
- Analyze and optimize code performance, memory utilization, and parallel scalability using profiling tools, debuggers, and performance analysis techniques to identify bottlenecks and opportunities for improvement.
- Implement software solutions for parallel computing tasks, including matrix operations, linear algebra routines, signal processing algorithms, image processing filters, and deep learning models using CUDA libraries and frameworks.
- Integrate CUDA-accelerated components into larger software systems, frameworks, or platforms, ensuring compatibility, interoperability, and performance consistency across heterogeneous computing environments.
- Collaborate with hardware engineers, system architects, and platform developers to optimize software-hardware interactions, exploit GPU features, and maximize utilization of GPU resources for compute-intensive tasks.
- Write clean, modular, and maintainable code using software development best practices, version control systems, and coding standards, documenting design decisions, implementation details, and usage guidelines.
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