The Intel China Software Engineering and Client Products (SCP) Edge Engineering team is seeking talents to create world-leading high-performance Edge AI solutions with optimized software for edge scenarios
Job Summary
The Intel China Software Engineering and Client Products (SCP) Edge Engineering team is seeking talents to create world-leading high-performance Edge AI solutions with optimized software for edge scenarios.
Responsibilities include developing AI solutions for edge scenarios, optimizing AI models, developing and deploying AI inference pipelines, streamlining AI model training and deployment, and benchmarking/tuning AI algorithm kernels.
This role requires a Master's degree in a relevant field with 8+ years of software development experience, strong Linux development skills in C/C++ and Python, and experience with mainstream training frameworks.
Matching Summary
The Intel China Software Engineering and Client Products (SCP) Edge Engineering team is seeking talents to create world-leading high-performance Edge AI solutions with optimized software for edge scenarios.
Skills & Requirements
Must-have
AI algorithms and software research
Edge AI solutions optimization
Intel CPU, GPU, NPU platforms
GenAI, Visual Large Model, Transformer, CNN
model quantization, distillation, tuning
AI inference pipeline development
OpenVINO, Pytorch, TensorFlow
Linux software development
C/C++, Python programming
performance benchmarking and tuning
Nice-to-have
cloud native stack usage
Docker, K8S, Helm chart experience
state-of-art LLM and VLM
media frameworks experience
big data process frameworks
IA architecture/platforms understanding
JAVA and Web development
software design for complicated systems
technical paper/patent writing
technical presentations experience
Key Requirements
Master's degree in computer science, Computer Engineering, or Electrical Engineering preferred
8+ years' experience in Software Development
Experience with Pytorch, TensorFlow, PaddalPaddal
Experience with LLM/VLM algorithms / kernel optimization