AI Model Optimization Engineer

Intel is hiring an AI Model Optimization Engineer. Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include PyTorch, TensorFlow and AI research.
Level classifies it as a mid-level role.
Level lists 842 other open roles at Intel.
The role was posted in the last few days.

AI in this role

PyTorchTensorFlow

ai-research

Job Details:

Job Description:

The Role and Impact As an AI Model Optimization Engineer, you will play a pivotal role in delivering optimized AI Models for Intel products, driving their adoption among partners and customers. You will develop, test, and debug the software that makes AI models run fast and accurately on Intel hardware. By leveraging your expertise in AI frameworks, algorithms, and hardware, you will contribute to developing cutting-edge technology that optimizes AI Models. Business Group This role is part of Intel Corporation's diverse and innovative workforce within the Client Computing and PhysicalAI Group. The team collaborates across engineering and product development domains to design and optimize solutions that advance Intel's leadership in Client and PhysicalAI Technologies. Focused on enabling technology adoption and delivering performance-driven AI solutions, the team contributes to Intel's broader mission of powering progress and innovation worldwide. Key Responsibilities • Enable and validate AI models on Intel GPUs to address customer and market segment needs. • Optimize the performance of AI Models, focusing on performance and accuracy using Intel Hardware features. • Implement and run benchmarks to measure model performance; analyse and report results. • Triage and debug issues across the framework and runtime layers, isolating driver-level defects and escalating them with supporting evidence. • Use AI-agent-assisted workflows to accelerate debugging and model enablement. • Contribute upstream pull requests - bug fixes, test coverage, and documentation. • Document code, test and procedures to ensure clarity and maintainability.

Qualifications:

Minimal Qualifications: • Bachelor's degree in a relevant field with 3+ years of hands-on experience in AI frameworks, algorithms, and programming OR Master's degree in a relevant field with 2+ years of experience • Solid understanding of software development principles and programming skills in Python and C++. • Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow). • Basic understanding of computer architecture and operating systems. • Working knowledge of Git-based collaborative development and pull-request workflows. • Strong problem-solving skills and a willingness to learn. Preferred Qualifications : • Experience with GenAI models (LLM, VLM, VLA) or OpenVINO. • Result orientation and strong ability to collaborate across teams. • Previous publications or contributions to AI research. • Familiarity with OpenVINO or other model optimization toolkits. Your expertise will not only contribute to the success of Intel's products but also shape the future of AI innovation. Join us to work on impactful projects and drive meaningful advancements in the industry.

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location:

Malaysia, Penang

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

AI Model Optimization Engineer at Intel rates 4 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Model Optimization Engineer is an open job at Intel.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Malaysia, Penang.
The job was posted on November 5, 2026.
Seniority: mid.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchPyTorchTensorFlow

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: AI Research, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker