Advanced Micro Devices
Application Software Optimization Engineer, High Performance Computing and AI
Advanced Micro Devices, Austin, Texas, us, 78716
WHAT YOU DO AT AMD CHANGES EVERYTHINGWe 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_
Application Software Optimization Engineer, High Performance Computing and AITHE ROLE:Would you like to be part of a world class team enabling applications for high performance computing? AMD is searching for talented and highly motivated computational scientists/engineers to join our team of developers preparing applications for supercomputing platforms across industry, academia, and national laboratories.This position is for a variable experience level optimization engineer in high performance computing. You will 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. Extensive experience with MPI communications packages and internals is essential. 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.ACADEMIC CREDENTIALS AND EXPERIENCE:PhD in Computer Science, Computational Physics, Engineering or related subjectsAdvanced candidates bring an additional 3-5 years of relevant industry experienceGPU programming experience of at least two years in an academic or industrial setting is highly desiredDetailed knowledge of the MPI communications layer is essential including understanding of internals (libfabrics, verbs)Working knowledge of a major AI framework (PyTorch / TensorFlow) or exposure to a converged HPC/AI code is a plusKEY RESPONSIBILITIES:Port and optimize a variety of scientific applications for AMD GPU systemsProvide MPI domain specific knowledge to other groups at AMDEngage with AMD product groups to drive resolution of application and customer issuesDevelop and present training materials to internal audiences, at customer venues, and at industry conferencesPREFERRED EXPERIENCE:Exposure to one scientific computing discipline such as finite element analysis, computational chemistry, fluid dynamics, weather modeling, and oil and gas applicationsExtensive experience with MPI collectives and communication layers is essentialExtensive experience with diagnosing and debugging MPI performance issues is essentialExtensive experience with modern Fortran or C/C++Strong performance analysis skills ideally for both CPU and GPUExperience 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 or ML is a plusBroad experience creating, adapting, and running workloads with widely used HPC applications is a plusFamiliarity with installation and setup of various HPC applications is a plusExperience with build system tools including Make, CMake, autoconf, and autotoolsIn-depth knowledge of software development practices including debug, test, revision control, documentation, and bug trackingStrong team development skills including demonstrated expertise with gitAbility to work well in geographically dispersed teamsLOCATION:Austin, TX; Santa Clara, CA, or remote#HYBRID#LI-RL1
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Application Software Optimization Engineer, High Performance Computing and AITHE ROLE:Would you like to be part of a world class team enabling applications for high performance computing? AMD is searching for talented and highly motivated computational scientists/engineers to join our team of developers preparing applications for supercomputing platforms across industry, academia, and national laboratories.This position is for a variable experience level optimization engineer in high performance computing. You will 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. Extensive experience with MPI communications packages and internals is essential. 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.ACADEMIC CREDENTIALS AND EXPERIENCE:PhD in Computer Science, Computational Physics, Engineering or related subjectsAdvanced candidates bring an additional 3-5 years of relevant industry experienceGPU programming experience of at least two years in an academic or industrial setting is highly desiredDetailed knowledge of the MPI communications layer is essential including understanding of internals (libfabrics, verbs)Working knowledge of a major AI framework (PyTorch / TensorFlow) or exposure to a converged HPC/AI code is a plusKEY RESPONSIBILITIES:Port and optimize a variety of scientific applications for AMD GPU systemsProvide MPI domain specific knowledge to other groups at AMDEngage with AMD product groups to drive resolution of application and customer issuesDevelop and present training materials to internal audiences, at customer venues, and at industry conferencesPREFERRED EXPERIENCE:Exposure to one scientific computing discipline such as finite element analysis, computational chemistry, fluid dynamics, weather modeling, and oil and gas applicationsExtensive experience with MPI collectives and communication layers is essentialExtensive experience with diagnosing and debugging MPI performance issues is essentialExtensive experience with modern Fortran or C/C++Strong performance analysis skills ideally for both CPU and GPUExperience 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 or ML is a plusBroad experience creating, adapting, and running workloads with widely used HPC applications is a plusFamiliarity with installation and setup of various HPC applications is a plusExperience with build system tools including Make, CMake, autoconf, and autotoolsIn-depth knowledge of software development practices including debug, test, revision control, documentation, and bug trackingStrong team development skills including demonstrated expertise with gitAbility to work well in geographically dispersed teamsLOCATION:Austin, TX; Santa Clara, CA, or remote#HYBRID#LI-RL1
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