Pmts Gpu Performance Architect

2 weeks ago


Bengaluru Karnataka, India Advanced Micro Devices, Inc Full time

Overview:
**WHAT YOU DO AT AMD CHANGES EVERYTHING**

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

**Responsibilities**:
**The Team**:
AMD's Data Center GPU organization is transforming the industry with AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and join our Data Center GPU organization where we are building amazing AI powered products with amazing people.

**The Role**:
Architect, analyze and optimize high-performance GPU-centric SoCs for Cloud Computing, and Machine Learning acceleration. Develop performance models and methodologies. Propose solutions to enhance performance and optimize power for next-generation data center systems.

**The Person**:
**Key Responsibilities**:

- Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU systems.
- Understand the design and architecture, propose solutions to enhance performance.
- Help with micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization.
- Develop tools and methodologies for performance analysis of workloads.
- Communicate, propose, and implement solutions to enhance processor and system performance.

**Preferred Experience**:

- Strong knowledge of GPU, CPU, SoC or computer system microarchitecture
- Experience with the development and usage of computer system performance models
- Some experience with computer workload analysis
- Strong programming skills, including experience with C++ and Python (or similar)

**Academic Credentials**:

- Ph.D. in Computer Science / Electronics Engineering
- M.S./M.Tech. in Computer Science / Electronics Engineering
- B.Tech. in Computer Science / Electronics Engineering

LI-PK1

Qualifications:

- Benefits offered are described: _AMD benefits at a glance.



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