GPU Software Engineer

## Job Description Intel CAIGC (AI and GPU IP Business Unit) is centered on leading AI technologies and foundational software ecosystems. We collaborate with OS vendors (OSVs), independent software vendors (ISVs), and global developers to build an end-to-end AI software ecosystem, enabling customers to deliver differentiated experiences. The team focuses on two core areas: first, empowering the AI PC ecosystem through dedicated NPU IP; second, delivering full-stack GPU IP across Intel's product portfolio, including Media, Display, and Graphics, achieving integrated delivery from silicon IP to system platforms and supporting the GPU technology roadmap. Our mission is to reshape end-user experiences with AI and drive high-performance computing with GPUs, strengthening Intel's leadership in the AI PC and GPU domains. The work will primarily focus on AI-driven software development and validation, with responsibilities including building and optimizing software quality measurement and tracking systems. ## Responsibilities * Develop high-performance software modules using Python/C/C++ with cutting-edge AI technologies and models, including key components such as video codecs and video processing pipelines. * Perform performance analysis, tuning, and optimization of media drivers across various Intel platforms in multi-operating system environments (Windows, Linux). * Develop automated validation tools, conduct system debugging and integration, and perform performance optimization. * Deploy advanced AI technologies such as Large Language Models (LLMs) and Vision-Language Models (VLMs) within agentic frameworks. ## Requirements * Master's degree or above in Computer Science, Software Engineering, Electrical Engineering, or related fields, with relevant work experience and strong interest in AI technologies. * Hands-on experience in Windows/Linux software development, with solid understanding of the full software development and testing lifecycle. * Proficient in Python/C/C++, with strong code quality awareness and adherence to coding standards. * Strong self-motivation for learning, passion for solving complex technical problems, and proactive thinking and innovation ability. * Excellent teamwork, communication, and collaboration skills. ## Nice to Have * Deep understanding of video encoding/decoding and video processing technologies. * Knowledge of LLMs, Agentic AI, and VLM technologies. ## Benefits * Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. * All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.