AI Frameworks Engineer

Shanghai, Shanghai Municipality, China Job ID JR0260915 Job Category Software Engineering Work Mode On-site Required Experience Level Experienced

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Job Description

Come join a customer-oriented engineering team, whose responsibilities range from: � Conduct Deep learning model and inference pipeline workload debugging and optimization to accelerate AI product landing which based on Intel Architecture and technical solution. � Be proficient in Intel Deep learning framework (Intel OpenVINO) primitives, features, API, toolkits, and use to deliver competitive performance in customer projects. � Implement customized operations, graph fusion, and low-precision/compression optimization programs - mapped on customer requirements. � Debug performance bottlenecks and optimize application with multithreading, vectorization skills. � Deliver efficient technical training and support for internal/external customer projects.

Qualifications

� BS/MS in AI/ML, Computer Science, Software Engineering, or a similar field. � At least 3-4 years of excellent experience in C and/or C++ and/or Python in Linux/Windows system programming skills. � Experience in deep learning model inference and fine-tuning optimization: generative AI, common Transformers (Vision/NLP/Speech), CV, Recommendation etc. � Experience with the deep usage of at least 2 Deep Learning frameworks in OpenVINO, TensorRT, PyTorch, HuggingFace/Optimum, ONNXRuntime, TensorFlow etc. � Experience in PTQ/QAT/GPTQ and compression algorithm usage and tuning. � Knowledge of modern processor architecture, for example, Intel architecture (x86), Nvidia/AMD GPU platform. The following will be an additional advantage: � Proficient in OpenVINO/IPEX/ITEX/oneDNN development and/or usage programming. � Experience of kernel operations implementation and optimization for public/private AI frameworks. � Experience in SQ/AWQ/QLoRA tuning. � Experience in low level optimization, vectorization by OpenCL/SYCL/Intel Intrinsics programming and BLAS libraries theory and usage skills. � Experience in performance profiling by Vtune, GPUView, etc. and debugs by GDB, VS etc. � Experience of deployment and performance tuning on public cloud deployment and/or industry edge platform and/or client workstation/PC. � Experience of system profiling (OS kernel/Driver/memory) and HW tuning (PTAT).

Inside this Business Group

The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.

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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role will require an on-site presence.

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Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”