AI Model Performance Engineer - Hybrid

Intel Corporation; Penang; Hybrid; MYR 180,000 - 210,000; Full time

Job summary

Intel Corporation in Penang is seeking an AI Model Performance Optimization Engineer to enable, validate, benchmark, and optimize AI models across Intel hardware platforms. You will work across AI frameworks and hardware to improve performance and accuracy, engaging with teams globally.

The role emphasizes collaboration, testing, debugging, and contributing to open-source projects while leveraging AI-assisted tools to boost productivity. Hybrid work model is available.

Qualifications

• Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, AI/ML or related technical discipline with 3+ years hands-on AI experience OR Master's with 2+ years.
• Proficient in Python and/or C++.
• Experience with PyTorch or TensorFlow.
• Experience in performance analysis, profiling and optimization on Linux/Windows.
• Git-based software development workflows.

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.

Skills

Python

C++

PyTorch

TensorFlow

Git

Education

Bachelor's or Master's in CS/CE/EE/AI/ML

Tools

Git-based workflows

OpenVINO

SYCL/OpenCL

Job description

Intel Corporation in Penang is seeking an AI Model Performance Optimization Engineer to enable, validate, benchmark, and optimize AI models across Intel hardware platforms. You will work across AI frameworks and hardware to improve performance and accuracy, engaging with teams globally.

The role emphasizes collaboration, testing, debugging, and contributing to open-source projects while leveraging AI-assisted tools to boost productivity. Hybrid work model is available.