Applied Materials is a global leader in materials engineering solutions that enable the production of semiconductor chips and advanced displays
Job Summary
Applied Materials is a global leader in materials engineering solutions that enable the production of semiconductor chips and advanced displays.
The role involves designing and benchmarking AI workloads, specifically large language models, on high performance GPU configurations to improve system efficiency.
Applied Materials offers a supportive work culture that encourages learning, professional growth, and prioritizes employee health and wellbeing.
Matching Summary
Applied Materials is a global leader in materials engineering solutions that enable the production of semiconductor chips and advanced displays.
Skills & Requirements
Must-have
Transformer-based model architectures
Python and C++ programming skills
Systems architecture performance modelling
Parallel computing architectures experience
DL Frameworks like Pytorch and Tensorflow
Profiling tools such as Nsight Systems
Containerized environment with Docker
Nice-to-have
Supportive work culture
Focus on employee wellbeing
Commitment to diversity and inclusion
Key Requirements
Experience with AI workload finetuning and inference
Proficiency in performance modelling of CPU, GPU, Memory, or Network