AI Model Optimization Engineer

Intel Corporation•Santa Clara, CA

1d•$149,750 - $275,580•Hybrid

About The Position

Intel is seeking an AI Model Performance Optimization Engineer to deliver high-performance AI solutions for next-generation client computing. The role enables, validates, benchmarks, optimizes, and debugs AI models so they run efficiently and accurately across Intel hardware platforms. It works across artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, collaborating with Intel teams to improve AI model performance, scalability, and customer and partner adoption worldwide. The engineer analyzes performance and optimization opportunities, develops and executes tests for model functionality, accuracy, and performance, and resolves issues across AI frameworks, software stacks, and hardware. The role also contributes code, bug fixes, documentation, and test coverage to internal and open-source projects, uses AI-assisted development tools, works with globally distributed engineering teams, and mentors junior engineers. The position is based in Santa Clara, California, and uses Intel’s hybrid work model, splitting time between the assigned Intel site and off-site work. Intel describes the role as an experienced hire and offers competitive compensation and benefits. The stated annual U.S. salary range is $149,750 to $275,580; actual pay depends on work location and other factors.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with at least 3 years of hands-on experience in AI frameworks, algorithms, and programming; or a master’s degree in the same field with at least 1 year of experience.
Experience programming in Python and/or C++.
Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
Experience in performance analysis, profiling, and optimization.

Nice To Haves

Experience with Linux and/or Windows operating systems.
Experience with Git-based software development workflows.
Experience with generative AI models (LLM, VLM, VLA) or OpenVINO.
Understanding of parallel programming, preferably with experience in SYCL or OpenCL.
Previous publications or contributions to AI research.
Familiarity with OpenVINO or other AI inference frameworks.
Experience contributing to open-source software projects.

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.
Use 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.
Mentor junior engineers and share technical expertise across the team.