AI Model Optimization Engineer
Core
Enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.
Role type
AI Model Performance Optimization Engineer
Builds
High-performance AI solutions for client computing experiences
Domain
Hardware acceleration, machine learning frameworks, software engineering
Deliverable
production ML models
Required skills
Python, C++, PyTorch, TensorFlow, performance profiling, Linux, Windows, Git
Preferred skills
Generative AI (LLM, VLM, VLA), OpenVINO, SYCL, OpenCL, parallel programming
Technologies
OpenVINO, SYCL, OpenCL, PyTorch, TensorFlow
Responsibilities
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; Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects.
Seniority
Mid-Senior, hands-on IC
