GPU Platform Architect

Role Overview: As a GPU Platform Architect at Aarvi Learning Solutions, you will be responsible for designing and optimizing GPU platforms, developing performance benchmarks, collaborating with cross-functional teams, implementing advanced GPU technologies, and ensuring high efficiency and performance of GPU-accelerated applications. Your role will involve providing technical leadership, problem-solving, and overseeing the integration of GPU solutions into various projects. Key Responsibilities: - Design and optimize GPU platforms - Develop performance benchmarks - Collaborate with cross-functional teams - Implement advanced GPU technologies - Ensure high efficiency and performance of GPU-accelerated applications - Provide technical leadership and problem-solving - Oversee the integration of GPU solutions into projects Qualifications: - Experience in GPU architecture design and optimization - Strong knowledge of programming languages such as C, C++, and Python - Familiarity with GPU computing libraries like CUDA, OpenCL, and Vulkan - Proficiency in performance analysis, benchmarking, and debugging tools - Excellent problem-solving and analytical skills - Ability to collaborate with cross-functional teams and communicate technical concepts effectively - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field - Experience in artificial intelligence or machine learning applications is a plus - Strong project management and technical leadership abilities,