High Performance Computing Optimization Engineer
2 days ago
We're committed to enriching our industry, communities, and the world through innovative AMD technology. Our mission is to build exceptional products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems.
Our culture is built on pushing 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.
The Team:
AMD's Data Center GPU organization is revolutionizing 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, HPC, and Embedded systems.
If you're passionate about AI and GPU technology, come and join our Data Center GPU organization where we're building amazing AI-powered products with amazing people.
The Role:
We're seeking a talented and highly motivated computational scientist/engineer to join our team of developers preparing applications for supercomputing platforms across industry, academia, and national laboratories.
You'll be part of a team testing, porting, and tuning a wide variety of scientific applications for AMD GPU platforms.
The Person:
A computational scientist, physicist, or engineer with experience in at least one scientific computing domain and strong GPU programming skills.
A track record of collaborating with others on applications and libraries widely used by the scientific computing community is a plus.
Must be self-motivated and possess the ability to work well within a team environment.Key Responsibilities:
Port and optimize a variety of scientific applications for AMD GPU systems
Provide domain-specific knowledge to other groups at AMD
Engage with AMD product groups to drive resolution of application and customer issues
Develop and present training materials to internal audiences, at customer venues, and at industry conferences
Preferred Experience:
In-depth knowledge of one scientific computing discipline such as finite element analysis, computational chemistry, fluid dynamics, weather modeling, and oil and gas applications
Extensive experience with modern Fortran or C/C++
Strong performance analysis skills ideally for both CPU and GPU
Experience in implementing and optimizing parallel methods on GPU accelerators in distributed memory systems with MPI, CUDA, HIP, OpenMP, etc.
Experience with a converged HPC/AI application is a plusBroad experience creating, adapting, and running workloads with widely used HPC applications is a plus
Familiarity with installation and setup of various HPC applications is a plus
Experience with build system tools including Make, CMake, autoconf, and autotools
In-depth knowledge of software development practices including debug, test, revision control, documentation, and bug tracking
Strong team development skills including demonstrated expertise with git
Ability to work well in geographically dispersed teams
Location:
Austin, TX; Santa Clara, CA, or remote
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