AI Model Performance Optimizer

Intel Corporation; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Intel Corporation in Santa Clara, CA seeks an AI Model Performance Optimization Engineer to enable, benchmark, and optimize AI models across Intel hardware. You will work across AI frameworks, software stacks, and hardware accelerators, analyzing performance and driving optimizations for scalable AI solutions used globally.

You will collaborate with cross-functional teams, mentor junior engineers, and contribute to open-source projects while advancing Generative AI capabilities on client

Qualifications

• Proficient in Python and C++ with strong ML/AI background.
• Experience with ML frameworks (PyTorch, TensorFlow) and model optimization.
• Experience with performance profiling and benchmarking.

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

Skills

Python

C++

Performance analysis

Tools

PyTorch

TensorFlow

OpenVINO

SYCL/OpenCL

Job description

Intel Corporation in Santa Clara, CA seeks an AI Model Performance Optimization Engineer to enable, benchmark, and optimize AI models across Intel hardware. You will work across AI frameworks, software stacks, and hardware accelerators, analyzing performance and driving optimizations for scalable AI solutions used globally.

You will collaborate with cross-functional teams, mentor junior engineers, and contribute to open-source projects while advancing Generative AI capabilities on client