Application Software Optimization Engineer

Full-time - Mid Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

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. This ranges from mid level to experienced GPU programmers. You will be part of a team testing, porting and tuning a wide variety of scientific applications for AMD GPU platforms.

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
• Analyze application workloads, characterizing performance on current and future hardware generations
• Generate quality documentation of the performance and characterization of applications, using automated processes for common content and projections, on fixed deadlines

Requirements

• Masters or PhD in Computer Science, Computational Physics, Engineering or related subjects, or commensurate experience
• Advanced candidates bring an additional 3-5 years of relevant industry experience
• GPU programming experience in an academic or industrial setting is highly desired
• Working knowledge of a major AI framework (PyTorch / TensorFlow) or exposure to a converged HPC/AI code is a plus
• Knowledge of documentation preparation systems (LaTeX)

Nice-to-haves

• 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++, Python
• 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 or ML is a plus
• Broad 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
• Automation mindset

Benefits

• Base pay is one part of the total rewards package
• Eligibility for incentives based upon role such as annual bonus or sales incentive
• Opportunity to own shares of AMD stock
• Discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan
• Competitive benefits