A

AMD

Designs chips for computers and AI systems

HPC and AI System Manager - Field Application Engineering

System AdministrationConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listed

About the Job

Requirements

  • Demonstrable track record managing HPC systems.
  • Understanding of the HPC ecosystem, including toolchains, parallel file systems, high-performance networks, and batch managers.
  • Strong experience with Red Hat, Ubuntu, or SUSE Linux Enterprise Server.
  • Understanding of CPU architecture, settings, and their impact on performance.
  • Ability to install and maintain C, C++, or Fortran compilers and mathematical libraries; familiarity with Zen Software Studio, Intel OneAPI, or GCC.
  • Familiarity with at least one of InfiniBand, Slingshot, Omni-Path/Cornelis, or BXI networking.
  • Experience with at least one of Lustre, BeeGFS, GPFS, or WekaFS parallel file systems.
  • Familiarity with a batch manager such as SLURM or PBS and cluster management tools such as Bright or TrinityX.
  • Understanding of system-level hardware and its configuration and impact on performance to project future performance.
  • Bachelor's degree in a technical field, preferably Computer Science, Electrical Engineering, Physics, or Mathematics.

Responsibilities

  • Ensure uptime and strong baseline performance of systems in Germany and the United States.
  • Set up systems based on EPYC CPUs and Instinct GPUs.
  • Assist Field Application Engineers, customers, and partners, and demonstrate optimal system configurations using BIOS, Linux, CPU, or GPU systems.
  • Characterize applications on EPYC and Instinct systems and document the results.
  • Test early CPU samples and engage with Engineering, Architecture, Platform, Software, and Product Development teams, providing field feedback and leadership on future direction.
  • Create training materials and deliver training sessions at customer sites.
  • Serve as a specialist and mentor to the frontline Field Application Engineering team.
  • Automate repeatable procedures.
  • Explore, evaluate, and deploy emerging hardware and software technologies for HPC and AI environments.
  • Drive automation initiatives to reduce repetitive tasks and continuously improve HPC operations.

Desired Qualifications

  • Experience maintaining HPC systems and associated HPC middleware.
  • Customer-facing experience and ability to write technical documents and communicate at an appropriate level.
  • Experience building HPC applications on CPUs and GPUs.
  • Red Hat Certified Engineer certification.
  • Knowledge of OpenStack, OpenShift, Kubernetes, Docker, or CUDA.
  • Experience understanding, inspecting, or writing assembly.
  • Understanding of memory and cache hierarchy and methods to query performance and latency at each level.
  • Understanding HPC dataflow down to the register level.
  • Any security clearance.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

Recently Posted Jobs

Explore more opportunities at AMD

See more jobs