AI Frameworks Engineer

Job Details:

Job Description: 

• Conducts design and development to build and optimize AI software.
• Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to analyze external frameworks (e.g., TensorFlow, PyTorch), as well as other competitive frameworks.
• Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks.
• Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams.
• Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.
• Understands and analyzes architectural differences between frameworks to improve software for future generation platforms.

Qualifications:

Minimum Qualifications:
• Bachelor's degree years in Computer Science, Computer Systems, or related engineering degrees
• 3 years' experience in AI technology
• Understanding of Intel hardware micro-architecture
Preferred Qualifications:
• Experience with various AI frameworks (OpenVINO, TensorFlow, PyTorch)
• Master's Degree in Computer Science, Computer Systems, or related engineering degrees

          

Job Type:Experienced Hire

Shift:Shift 1 (Malaysia)

Primary Location: Malaysia, Penang

Additional Locations:

Business group:The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

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 TrustN/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.