GPU Software Development Engineer

Job Description

The software team in Software and AI organization is a world-class global and specialized team, on a mission to build the next generation of Graphics and AI client Software. This position requires a highly motivated and skilled Software Engineer with a strong foundation in GPU programming and a passion for AI/ML. The ideal candidate will be responsible for developing, validating and optimizing high-performance GPU-accelerated AI applications. This role involves close collaboration with cross-functional teams, including hardware engineers, AI researchers, and product managers, to deliver cutting-edge AI solutions. Key responsibilities include Develop, optimize, and maintain high-performance GPU kernels and libraries for AI workloads. Optimize AI models for specific GPU architectures, focusing on performance, power and memory utilization. Investigate and implement advanced GPU programming techniques. Develop a strong understanding of AI/ML algorithms and their implementation on GPUs, collaborate with AI researchers to investigate and evaluate models for integration. This position also requires conducting performance profiling and analysis of GPU applications, Identify and resolve performance bottlenecks. In this position, you will also conduct research and development on new GPU programming techniques and optimization strategies. Qualifications Minimum Qualifications: The successful candidate must have a BS degree or MS degree with a minimum 8-10 years' experience. Degree should be in Computer Engineering or Computer Science. Experience and proficiency should be related to software development strong proficiency in C/C++ and Python, working experience with GPU programming using OpenCL, OneAPI or Vulkan, or other parallel computing framework like CUDA, especially for AI inferencing is a plus. Familiarity with deep learning frameworks such as Open Vino, TensorFlow, PyTorch. Strong attention to technical detail, data analysis and problem-solving skills along with experience in performance profiling and optimization tools. Strong communication and interpersonal skills with ability to work independently and as part of team.