Kudzu Infotech

2 months ago

Hyderabad, India Kudzu Infotech Full time

Technical Experience :

1. Proven experience (~5 years) in software development with a strong emphasis on simulation, physics engines, or related areas.

2. Solid understanding of 3D graphics, real-time rendering, and simulation techniques

3. Proficiency in C++, Python, and/or other relevant programming languages

4. Experience with technologies, such as CUDA, Pytorch, DGL, PYG, cuGraph and related GPU programming frameworks.

5. Familiarity with Agile development methodologies.

6. Prior experience in the development of virtual reality (VR) or augmented reality (AR) applications.

7. Knowledge of cloud computing technologies and distributed systems

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.

(ref:hirist.tech)

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