CCG CGAI: AI Software intern at Intel - Dubai

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Programming, AI Solutions, Machine Learning, Neural Networks, Performance Analysis, Visualization, Profiling Tools, Compiler Technologies, Computer Vision, High-Performance Computing, Deep-Learning Frameworks, AI Hardware Accelerators, GPU, Python

Industry

Semiconductor Manufacturing

Description

Job Details: Job Description: Supports the development of integrated AI solutions through AI domain expertise in assisting in system design, performance benchmarking, and deployment of AI and/or machine learning solutions. Contributes to and collaborates with hardware and software teams to provide integrated solutions optimized for AI use cases, with a focus on reliability and scalability. Applies understanding of AI frameworks and customer requirements to influence solution development. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through handson experience and projects that support Intel business goals in a collaborative environment. Qualifications: Responsibilities: 1.Driving design for a compilation flow that will scale to future Neural Network architectures and target platforms. 2.Implementing compilation passes for enabling and optimizing Neural Networks workloads. 3.Development of performance analysis, visualization, and profiling tools. 4.Integrating and testing changes, owning the tasks execution end-to-end. Qualifications: 1.Computer Science or a similar field. 2.At least 2 years of experience in programming. 3.Excellent C++ programming skills. 4.Some production software engineering background, experience with CI, code reviews, paired programming, unit and integration testing. Preferred Qualifications: 1.Experience in one the following: compiler technologies, computer vision, numerical modelling, high-performance computing, deep-learning frameworks or algorithms. 2.Experience in AI hardware accelerators, GPU, NPU, heterogeneous architectures software development. 3.Experience in mapping between Neural Networks architectures and hardware accelerated inference. 4.Experience in LLVM/MLIR. 5.Python programming skills. Job Type: Student / Intern Shift: Shift 1 (China) Primary Location: PRC, Shanghai Additional Locations: Business group: The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics. 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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process Discover your place in our world-changing work.

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Responsibilities

The intern will support the development of integrated AI solutions, focusing on system design, performance benchmarking, and deployment of AI and machine learning solutions. Responsibilities include driving design for compilation flows, implementing compilation passes, and developing performance analysis tools.