AI Model Optimization Engineer

Job Details: Job Description: The Role and Impact Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.   Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide.   This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally.   What You Will Do Key responsibilities will include but not limited to: • Enable, validate, benchmark, and optimize AI models on Intel platforms. • Analyze model performance and identify optimization opportunities. • Debug issues across AI frameworks, software stacks, and hardware platforms. • Develop and execute tests to ensure model functionality, accuracy, and performance. • Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges. • Utilize AI-assisted development tools to improve engineering productivity. • Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects. • Work effectively with globally distributed engineering teams.   Behavioral traits that we are looking for:   • Curiosity and Learning Agility: Demonstrates a passion for learning emerging AI technologies, frameworks, and development methodologies. • Problem Solving: Approaches complex technical challenges with structured analysis and creative thinking. • Ownership: Takes initiative, drives issues to resolution, and delivers high-quality results with accountability. • Collaboration: Works effectively across software, hardware, architecture, and product teams to achieve shared objectives. • Adaptability: Thrives in fast-paced environments where priorities and technologies evolve rapidly. • Communication: Communicates complex technical concepts clearly to both technical and non-technical audiences. • Global Teamwork: Works effectively across geographically distributed teams and diverse perspectives.   Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.  • See  Intel Benefits  for more details.  Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.  Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications and Experience :   Bachelor's degree in a Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with 3+ years of hands-on experience in AI frameworks, algorithms, and programming OR Master's degree in the same field with 2+ years of experience.   • Programming in Python and/or C++. • Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow. • performance analysis, profiling and optimization • Linux and/or Windows operating systems. • Git-based software development workflows.   Preferred Qualifications and Experience : • Experience with GenAI models (LLM, VLM, VLA)