CUDA Software Engineer

Job Description:

• We are looking for a skilled CUDA Software Engineer to join our team and contribute to the development of high-performance parallel computing solutions.
• As a CUDA Software Engineer, you will play a key role in designing and implementing CUDA kernels for NVIDIA
• GPUs, pushing the boundaries of computational efficiency and performance.

Responsibilities:

• Design, develop, and optimize CUDA kernels for parallel computing applications, leveraging the power of NVIDIA GPUs.
• Collaborate with the software development team to understand project requirements and performance targets.
• Implement efficient algorithms and data structures for parallel processing on CUDA-enabled GPUs.
• Profile and optimize CUDA code for performance, memory usage, and scalability.
• Troubleshoot and debug issues in CUDA kernels, addressing performance bottlenecks and algorithmic complexities.
• Stay updated on the latest advancements in CUDA technology and GPU architectures.
• Document and communicate technical designs, implementation details, and performance optimizations.

Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field. Advanced degree preferred.
• Strong proficiency in CUDA programming for NVIDIA GPUs, with a deep understanding of CUDA fundamentals.
• Demonstrated experience designing and implementing CUDA kernels for parallel computing tasks.
• Proficiency in C/C++ programming languages.
• Experience with parallel algorithms, data structures, and optimization techniques.
• Familiarity with GPU performance profiling tools and techniques.
• Knowledge of NVIDIA Drive SDK fundamentals is advantageous.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.