GPU Software Engineer at Intel

Job Details:

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. Position Requirements: 1. Education and Experience: Master's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields, with relevant industry experience and a strong interest in AI technologies. 2. Responsibilities include but are not limited to:

• 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

Qualifications:

• 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 Preferred Qualifications:
• Deep understanding of video encoding/decoding and video processing technologies • Knowledge of LLMs, Agentic AI, and VLM technologies

Job Type:

Experienced Hire

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

Business group:

Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.

Posting Statement:

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.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.