GPU Software Engineer

Intel Intel · Semiconductors · Shanghai, China

GPU Software Engineer focused on AI-driven software development and validation, building and optimizing software quality measurement and tracking systems. Responsibilities include developing high-performance software modules with AI technologies and models, optimizing media drivers, and deploying LLMs/VLMs within agentic frameworks.

What you'd actually do

  1. 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
  2. Perform performance analysis, tuning, and optimization of media drivers across various Intel platforms in multi-operating system environments (Windows, Linux)
  3. Develop automated validation tools, conduct system debugging and integration, and perform performance optimization
  4. Deploy advanced AI technologies such as Large Language Models (LLMs) and Vision-Language Models (VLMs) within agentic frameworks

Skills

Required

  • Master's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
  • Relevant industry experience
  • Windows/Linux software development
  • Full software development and testing lifecycle understanding
  • Proficient in Python/C/C++
  • Strong code quality awareness
  • Adherence to coding standards
  • Self-motivation for learning
  • Passion for solving complex technical problems
  • Proactive thinking and innovation ability
  • 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

What the JD emphasized

  • strong interest in AI technologies

Other signals

  • Deploy advanced AI technologies such as Large Language Models (LLMs) and Vision-Language Models (VLMs) within agentic frameworks
  • Develop high-performance software modules using Python/C/C++ with cutting-edge AI technologies and models
  • Perform performance analysis, tuning, and optimization of media drivers across various Intel platforms