AI Model Optimization Engineer - Penang, Malaysia
Originally posted 19 October 2026 by the employer.
About the role
Intel is seeking an AI Model Performance Optimization Engineer to enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.
What you'll do
- 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.
What you'll need
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with 3+ years of experience in AI frameworks, algorithms, and programming, or a Master's degree with 2+ years of experience.
- Programming proficiency in Python and/or C++.
- Hands-on experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
- Experience with performance analysis, profiling, and optimization.
- Familiarity with Linux and/or Windows operating systems.
- Experience with Git-based software development workflows.
Nice to have
- Experience with GenAI 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.
Skills: AI model optimization, machine learning frameworks, PyTorch, TensorFlow, Intel platforms
More semiconductor jobs: AI chip design jobs · Malaysia jobs
This role has been open 9 days — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 11 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 233 | 6367 · 147 employers |
| Median days open | 48 d | 87 d (−39 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI model optimization, machine learning frameworks, PyTorch, TensorFlow, Intel platforms
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.