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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.
Job Details: Job Description: The Role and Impact Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms. Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide. This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally.
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life. See Intel Benefits for more details.
Job Type: Experienced Hire Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations:
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.
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.