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Applied Materials
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AI Performance Architect

AI Performance Architect

Applied Materials

6 - 10 years

20 - 25 Lacs

bengaluru

Posted:9 hours ago| Platform:

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Skills Required

c++ python cpu networking gps architecting fullstack development project management network security information security database administration architecture analysis docker iot tensorflow java data modeling detail design pytorch cost analysis

Work Mode

Work from Office

Job Type

Full Time

Job Description

Applied Materials Applied AI Systems Solutions (System to Materials) Business Unit is searching for a Software Engineer AI Performance Architect to join our team! The Applied AI System to Materials team works on architecting differentiated AI Systems leveraging Applieds fundamental innovations.

Write the details of role here:
- Benchmark AI workloads (LLMs) in single and multi-node High Performance GPU configurations.
- Project and Analyze systems performance for LLMs using various parallelization techniques.
- Develop methodologies to measure key performance metrics and understand bottlenecks to improve efficiency.

Requirements

Understanding of transformer-based model architectures and basic GEMM operations.
Strong programming skills in Python, C/C++.
Proficiency in systems (CPU, GPU, Memory, or Network) architecture analysis and performance modelling.
Experience with parallel computing architectures, interconnect fabrics and AI workloads (Finetuning/Inference).
Experience with DL Frameworks (Pytorch, Tensorflow), Profiling tools (Nsight Systems, Nsight Compute, Rocprof), Containerized Environment (Docker)

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

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AI Performance Architect